Package: rmorie 1.5.1

rmorie: Multi-Domain Open Research and Inferential Estimation

Self-contained multi-domain scientific computing toolkit for observational inference and intervention analysis, hosting the Multilevel Reconciliation Methodology ('MRM') framework for Canadian correctional, police, and oversight data as its primary application. Every statistical algorithm is implemented in the package itself (R and 'C++') and cross-validated against its reference implementation; no other statistical package is called at runtime. Provides general-purpose causal estimators -- average treatment effects on the full, treated, and control populations ('ATE', 'ATT', 'ATC'), group, conditional, and local average treatment effects ('GATE', 'CATE', 'LATE'), augmented inverse-probability weighting ('AIPW'), and G-computation -- survey sampling methods (stratified, cluster, probability-proportional-to-size, bootstrap, calibration weights), propensity-score and doubly-robust estimators, and sensitivity analyses (E-value, 'Rosenbaum' bounds). Companion modules support signal processing and spectral analysis, hash and signature primitives, spatial statistics, statistical physics of crime ('Hawkes' self-exciting processes, reaction-diffusion, Levy flight, urban scaling), and classical-test-theory and item-response-theory measurement models, alongside ingestion utilities for officially published reports of the Ontario Special Investigations Unit ('SIU', <https://www.siu.on.ca/>, police oversight) and of federal Structured Intervention Units. Additional open-data connectors cover the 'CKAN' (Comprehensive Knowledge Archive Network, <https://ckan.org/>) portal family including Canada's federal portal (<https://open.canada.ca/>), Statistics Canada (<https://www.statcan.gc.ca/>), the municipal 'Socrata' portals of Chicago (<https://data.cityofchicago.org/>), New York City (<https://opendata.cityofnewyork.us/>), and Calgary (<https://data.calgary.ca/>), and the Toronto Police Service public-safety data portal (<https://data.tps.ca/>); none of these require an account or API (application programming interface) key.

Authors:Vansh Singh Ruhela [aut, cre]

rmorie_1.5.1.tar.gz
rmorie_1.5.1.zip(r-4.7-x86_64)rmorie_1.5.1.zip(r-4.7-arm64)rmorie_1.5.1.zip(r-4.6-x86_64)rmorie_1.5.1.zip(r-4.6-arm64)rmorie_1.5.1.zip(r-4.5-x86_64)
rmorie_1.5.1.tgz(r-4.6-x86_64)rmorie_1.5.1.tgz(r-4.6-arm64)rmorie_1.5.1.tgz(r-4.5-x86_64)rmorie_1.5.1.tgz(r-4.5-arm64)
rmorie_1.5.1.tar.gz(r-4.7-arm64)rmorie_1.5.1.tar.gz(r-4.7-x86_64)rmorie_1.5.1.tar.gz(r-4.6-arm64)rmorie_1.5.1.tar.gz(r-4.6-x86_64)
rmorie_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rmorie/json (API)

# Install 'rmorie' in R:
install.packages('rmorie', repos = c('https://rootcoder007.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rootcoder007/rmorie/issues

Pkgdown/docs site:https://rootcoder007.github.io

Uses libs:
  • curl– Easy-to-use client-side URL transfer library
  • libsodium– Network communication
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

softwarestatisticalmethodsurvivalspatialtimeseriesbayesianmultiplecomparisonvisualizationacademic-researchcarceral-datacausal-inferencecriminologymrm-frameworkontario-siupolice-data-miningpolice-oversightsiusiu-parserspecial-investigations-unitcurllibsodiumopenblascppopenmp

5.92 score 64 scripts 13777 exports 6 dependencies

Last updated from:c52b4cc448 (on main). Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK3593
linux-devel-x86_64OK2715
source / vignettesOK2509
linux-release-arm64OK3777
linux-release-x86_64OK4188
macos-release-arm64OK3068
macos-release-x86_64OK3383
macos-oldrel-arm64OK2826
macos-oldrel-x86_64OK3829
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windows-devel-x86_64OK3498
windows-release-arm64OK3415
windows-release-x86_64OK4317
windows-oldrel-x86_64OK3972
wasm-releaseOK2290

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Dependencies:hereRcppRcppArmadillormoriebricklayerrmoriedatarprojroot

Data capsules: pin, verify, sign and re-check a CSV
Write the record | Verify it | Record the results, sign and bundle | Check a fresh download for drift

Last update: 2026-10-20
Started: 2026-10-20

Dataset catalogue
Overview | Browsing the catalogue | Per-dataset detail | Loading data | Bundled tables | Statistics Canada / Health Canada data acknowledgment | Where to go next

Last update: 2026-10-19
Started: 2026-05-25

Auditing a system for group disparity
What this vignette covers | Group-disparity metrics | Predictive-policing calibration audit | Further reading

Last update: 2026-10-15
Started: 2026-05-25

Causal inference with MORIE
Overview | A reproducible synthetic example | Single-robust ATE / ATT / ATC | Doubly robust: augmented IPW | Per-unit CATE (T-learner / S-learner) | Group-level GATE | Sensitivity analysis: the E-value | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

Chi-square tests and one-way ANOVA
Overview | A 2x3 contingency table | Effect size: Cramer's V | One-way ANOVA + omega-squared | Published chi-square statistics (Sprott, Doob and Iftene) | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

CPADS canonicalization and analysis
Overview | The CPADS column contract | Loading and canonicalising | Survey-weighted proportions | Propensity-score IPW workflow | Loading the real PUMF | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

Designing and measuring for a small subpopulation
What this vignette is for | 1. How large must the sample be? | 2. Reaching the group: oversampling and screening | 3. Making the sample agree with known totals | 4. When the identifier is wrong | 5. Measurement: does the instrument mean the same thing in both groups? | 6. Governance is part of the method | Summary

Last update: 2026-10-15
Started: 2026-09-20

Effect sizes and association measures
Overview | Cohen's d (continuous, two-group) | Cramer's V (categorical association) | Omega-squared (one-way ANOVA) | Proportion confidence intervals | E-value (sensitivity analysis) | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

Eight hard problems in criminology, with proofs behind the functions
P4. Predictive-policing feedback loops run away, and slowly | P5. What a risk score's fairness can and cannot be | P1. The dark figure as an interval, not a point | P3. Hot-spot effects when places affect their neighbours | P7. How much of the "law of crime concentration" is crime-free places? | P2, P6, P8 in one breath | References

Last update: 2026-10-15
Started: 2026-09-30

Getting started with MORIE in R
Overview | Loading the package | The dataset catalogue | Loading a dataset | A simple ATE estimate | Companion estimators | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

IPW deep-dive (Hajek and Horvitz--Thompson)
Overview | Setting up | Estimating propensities | Hajek-stabilised IPW | Weight diagnostics | AIPW for protection against IPW failure | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

MRM dataset fetchers and included samples
Overview | Included reference samples | OTIS via CKAN (data.ontario.ca) | TPS via ArcGIS Open Data | SIU Director's Reports | Workflow: from included sample to verified result | Canadian case law and legislation via A2AJ and CanLII | Caching layout | References

Last update: 2026-10-15
Started: 2026-05-25

MRM empirical callables (OTIS / TPS / SIU)
Overview | OTIS suite | Placement-count concentration on b09 | Segregation-duration KM on b01 | Mortification co-occurrence (alert columns) | Region locality | Mandela classification | TPS suite | Levy-flight Hill exponent on inter-event step lengths | Moran's I + DBSCAN clustering | Neighbourhood inter-event recurrence | Hawkes manifest loader | SIU suite | References

Last update: 2026-10-15
Started: 2026-05-25

MRM walkthrough on OTIS provincial data
What this vignette covers | Where the OTIS data come from | The canonical a01 design | The ten-estimator ensemble | The general multi-estimator entry point | Aggregate companion: incidence-rate ratios | Mandela classification | Federal counterparts | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

Quasi-experimental methods: DiD, IV, RDD, and weighting
Difference-in-differences with automatic staggered handling | Instrumental variables with a weak-instrument gate | Regression discontinuity with bundled diagnostics | Propensity-score weighting | One pipeline end to end

Last update: 2026-10-15
Started: 2026-07-17

Signal processing primitives
Overview | A synthetic two-tone signal | Basic FFT | Spectral density estimates | Short-time Fourier transform | Envelope and cepstral pitch | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

Specifying priors for Bayesian regression
General principle | Applied example

Last update: 2026-10-15
Started: 2026-07-15

Survey-weighted estimation with MORIE
Overview | Stratified, cluster, and PPS sampling | Calibration weights and design weights | Effective sample size and design effect | Bootstrap variance with weights | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

The native engines: DAG to publication table without leaving rmorie
The data | 0. Guard the categories first (module 25) | 1. The DAG (module 13) | 2. Identification | 3. Matching on the identified set (module 1) | 4. Estimation through the DAG (modules 10 + 13) | 5. Refutation (module 13) | 6. The MRM pipeline and a publication table (module 24) | Where to look next

Last update: 2026-10-15
Started: 2026-07-16

The SIU pipeline: fetch, parse, audit, translate
Overview | Inspecting the shipped manifest | The corpus | Auditing a single case | Comparing parser output against an external table | LLM extraction | French -> English translation | Corrections: the parser learns | Format validity | Where to go next

Last update: 2026-10-15
Started: 2026-05-25

Readme and manuals

Help Manual

Help pageTopics
Equality of exact rationals==.morie_frac
Actor-critic, DDPG and beam-search front endsA2cv Ddpgc Gptas
ABC with a GP surrogate, four methodsabcgpemulator abc_gp_emulator
ABC rejection samplerAbcrej
Smallest binomial single sampling plan for two risk pointsaccpln
Quality levels and average outgoing quality of a sampling planaccqlv
Anderson-Darling A^2 from probability-integral transformsAdcore
Anderson-Darling goodness-of-fit test for a fitted GEVAdgev
Anderson-Darling goodness-of-fit test for a fitted GPDAdgpd
Convenience dispatcher for p-value adjustment methodsadjust_p_values
EM for the ADMIXTURE ancestry likelihoodAdmixq
ADMM in scaled form for the LASSOAdmmlasso
Additive model by marginal integrationadmod
Anderson-Darling goodness-of-fit statistic (Hedderich eq. 7.33)Adstat
Mean-field ADVI evidence lower boundAdvielbo
ADWIN adaptive windowing for change detectionAdwin
Clustering algorithms: affinity propagation, CLARANS, CURE, DIANA, CHAMELEONAffinityPropagation Chameleon Clarans CureClustering Diana
Accelerated failure time regressionAftfit morie_survival_aft
Accelerated projected gradient on a boxAgdproj
Agenda-setter equilibrium in one dimensionAgendaSetterEquilibrium
Ask the rmorie terminal agentagent
Is the rmorie CLI agent available?agent_available
Directly age-standardised rateAgestd
Aggregate ATT(g,t)aggregate_att
Andersen-Gill counting-process Cox model for recurrent eventsAgrec
AIC order selection for an autoregressionAicar
Adversarial Inverse Reinforcement Learningairl
Compositional summaries, biplot and Dirichlet modelsAitchisonBiplot AitchisonClrCovariance CompositionalMad CompositionalPielou CompositionalQuantileDist DirichletFitMom DirichletSample
Algina-Keselman-Penfield robust effect size (one group)AkpD
Backbone frame update from a predicted quaternion (AlphaFold)Alfbkb
Contiguous residue cropping of AlphaFold training featuresAlfcrop
Distogram prediction head of AlphaFoldAlfdgram
Initial representation embeddings of AlphaFoldAlfembed
Evoformer block stack (AlphaFold trunk)Alfevo
Frame aligned point error (FAPE), the main AlphaFold structural lossAlffape
Invariant point attention (AlphaFold structure module)Alfipa
Decomposition of the total AlphaFold training lossAlfloss
MSA row-wise and column-wise gated self-attention (AlphaFold)Alfmsaat
Outer product mean: MSA-to-pair communication in AlphaFoldAlfopm
Predicted aligned error (PAE) head of AlphaFoldAlfpae
Per-residue model confidence (pLDDT) head of AlphaFoldAlfplddt
Recycling training objective of AlphaFoldAlfrcyl
Recycling embedder of AlphaFoldAlfrecyc
All-atom coordinates from backbone frames and torsion angles (AlphaFold)Alfschn
Transition layer of the AlphaFold structure moduleAlfstrtr
Template pointwise attention of AlphaFoldAlftmpl
Triangular gated self-attention over the AlphaFold pair representationAlftriat
Triangular multiplicative update of the AlphaFold pair representationAlftrimu
Structural violation losses of AlphaFoldAlfviol
Sorted vector of all command names + aliasesall_stat_command_names
Additive log-ratio transform of a composition against a reference partAlr
Inverse additive log-ratio transformAlrinv
Alternating least squares for implicit-feedback matrix factorisationAlsmf
Amalgamate a subset of parts into one, keeping the restAmalgam
Amendment agenda outcomesAmendmentAgenda
Replicate Doob's full Federal Court affidavit (Tables 1-3)analyze_doob_full_affidavit
Analyse Doob Affidavit Table 1 - 5-year average annual releasesanalyze_doob_table1_releases
Analyse Doob Affidavit Table 2 - prisoner flowanalyze_doob_table2_flow
Analyse Doob Affidavit Table 3 - age over-/under-representationanalyze_doob_table3_age_overrepresentation
Anderson-Darling goodness-of-fit testanderson_darling
Andrews sine psi functionAndrewspsi
Andrews sine IRLS weight functionAndrewswt
ANOVA table from a fitted modelanova_table
Ant colony optimization for continuous domains (ACO_R)AntColonyContinuous
Personalised propagation of neural predictionsAppnp
Aggregate proportional reduction in error (APRE)apre_statistic
Arc-cosine kernel matrixArckern
ARDL bounds test for a level relationshipArdlmd
Point processes: area-interaction and cluster simulation, LGCP, adaptive intensity, Berman-Turner fits, space-time K, G, JAbramsonIntensity AreaInteractionSimulate BermanTurnerFit StGFunction StJFunction StKFunction
Kriging with change of support, nonstationarity and variogram uncertaintyAreaToPointKriging EmpiricalBayesianKriging EmpiricalVariogramBins FitVariogramWls GaKriging NonstationaryKriging
Asymptotic relative efficiency of two estimatorsAreratio
Conditional sum of squares for an ARIMA(p, d, q) modelArimacss
Hannan-Rissanen estimation of an ARIMA(p, d, q) modelArimahr
ARIMAX: exogenous regression with ARMA errorsArimaxhr
ARSAU dataset loaders + registry (R-side mirror of morie.arsau_datasets)arsau
Per-record-type ARSAU analysis pipelines (R-side mirror of 'morie.arsau_analyze')arsau_analyze
ARSAU CKAN sidecar helpers + tidy registry view (R-side companion to 'morie.arsau_datasets')arsau_datasets
Known ARSAU dataset kindsARSAU_KINDS
Return the ARSAU registry as a list of entriesARSAU_REGISTRY
Known ARSAU year/range keysARSAU_YEARS
Artificial bee colonyArtificialBeeColony
Comprehensive calibration assessment for binary outcomesassess_calibration
Discrimination assessment for binary classifierassess_discrimination
Asymmetric Laplace distributionAsyLaplace
Causal effect estimators: IPW regression, g-computation, 2SLS, PLIV, sequential matching, SNFTMAte GComp Late Pliv Prsmtd
Probability results of Morin's Probability for the Enthusiastic BeginnerAtLeastOneOfIid AtMostTwoSuitsProbability BayesGeneral BayesSimple ChainRule ExactHalfHeads ExcessScoreFactor ExpectationLinear ExponentialCrossingTime ExponentialWaitingDensity EXSquared InclusionExclusion3 JointDensityFactorizes JointIndependent MorinFactorial PmfSd PmfSumConvolution PredictionImprovement ProbOrExclusive ProbOrGeneral RegressionToMeanFactor SdBernoulli SdFairCoinAvg SdOfMean SdOfMeanHetero SdScale SlopeFromCov StarsAndBars SuitFullHouseProbability VarScale VarSumWithCov
Outdoor sound propagation (ISO 9613)AtmosphericAbsorption AttenuationDistance BarrierAttenuation FoliageAttenuation GroundAttenuation NoiseMap NoiseZones PointSourceLevel
Atom-pair fingerprintAtompairfp
Issue salience, attention and valenceAttentionPunctuation StructureInducedEquilibrium ValenceConvergence
Comprehensive per-variable audit walker (R-side mirror)audit_variables
Augmented Lagrangian for equality-constrained minimisationAuglag
AUC, Poisson GLM, k-means and ridge with verbose resultsaurroc glmpoi kmeans2 rdgr
Automatic test selectionauto_test
Automatic zoning procedure (AZP)AutomaticZoning
Mean geodesic distance, and its harmonic counterpartAvgpathlen
Azuma-Hoeffding concentration bound for martingalesAzuma
Barabasi-Albert preferential attachment graphBamodel
Posterior and bootstrap summariesBamse Bypvl Nocse
LU/Cholesky simulation toolkitBandedCholesky BlockLuSimulate IncompleteCholesky LmcCosimulate NestedDecomposition RefinedSolve SimulationSensitivity TaperedSimulate WendlandTaper
Berman-Diggle cross-validated kernel bandwidthBandwidthDiggle
BART text-infilling denoising stepBarte
Triangular lag weights that keep a long-run variance non-negativeBartkw
Bartlett's test for equality of variancesbartlett_test
Forest inventory and LiDAR canopy analysisAdaptiveClusterEstimate BasalArea CanopyGaps CanopyHeightModel CarbonStock CrownSegmentation LineIntersectVolume PlotEstimate RasterizePoints StandDensityIndex StratifiedEstimate TreeBiomass TreeTops
FAO-56 Penman-Monteith reference evapotranspiration (Eq. 6)Basevap
Linear basis expansion fitted by least squares (ESL eqs. 2.30, 2.43)Basisexp
Bat algorithmBatAlgorithm
Baujat plot coordinates for a meta-analysisBaujat
Bayes theorem in explicit formBayesExp
E-BFMI: energy Bayesian fraction of missing informationbayesian_fmi
Gibbs samplers for Bayesian regression, mixtures and genomic predictionBayesA BayesB BayesLinearHalfcauchy ContaminatedNormalOutliers FiniteMixtureGibbs GenomicReliability
Posterior mode and normal approximation for logistic regressionBayeslogit
Bayesian online changepoint detection (re-export)Bayesocp
Spatial epidemiology and disease surveillanceBayesOutbreak BufferExposure Bym2Structure CusumSurveillance EcologicalRegression KernelExposure LerouxPrecision
Sampling-importance-resampling (SIR)Bayisr
Discrete Bayesian network inference by variable eliminationbayes_network Baynet
MCMC trace summaries: running mean and running quantile bandsBaytrace
Cyclic block coordinate descent, exact minimisation per blockBcdblk
Binary cross-entropy (logistic) lossBcelo
Box-Cox lambda by the probability plot correlationbcppcc
Begg and Mazumdar's rank correlation test for publication biasBeggtest
Benjamini-Hochberg FDR controlbenjamini_hochberg bh
Benjamini-Yekutieli FDR control under arbitrary dependencebenjamini_yekutieli by_fdr
Berkeley Earth regional temperature averageBerkeleyEarth
Elementary probability results of Morin (2016)bernoulli_variance binomial_expansion binomial_pmf_vector binomial_variance classify_events conditional_from_joint conditional_subset density_expectation gaussian_approx_2n gaussian_approx_biased gaussian_approx_n gaussian_sum_density hockey_stick hypergeometric_pmf partial_permutations permutations_count poisson_binomial_peak_ratio poisson_mean_rate poisson_small_interval poisson_zero_series
Bernstein's concentration inequalityBernstein
BERTScore precision, recall and F1Bertscore
Best constant predictor under squared errorBestConst
Beta-binomial conjugate updatingBetabinom
beta-VAE objective with an optional capacity targetBetavae
Bezout coefficients by the extended Euclidean algorithmBezout
BFGS minimisationBfgsMinimize
BFGS secant update of the Hessian and its inverseBfgsupd
Bias-adjusted treatment effect (Ding & VanderWeele 2016)bias_adjusted_estimate
Bias-variance decomposition of the expected prediction errorBiasvardec
Posterior model probabilities from BICbic_posterior_probs
BIC order selection for an autoregression, on the Schwarz penaltyBicarp
Spatial interpolation extrasBarrierIdw BicubicSpline StewartPotential
Biweight midvarianceBimid
Spatial binary-choice modelsBinaryGlm DiscreteMoranTest SpatialLogitGmm SpatialProbitGmm
Bingham distribution on the circle and the sphereBinghamDens
Unordered subgroups: the binomial coefficientBinomCoef
Centred fair-coin binomialBinomCtr
Factorial form of the centred binomialBinomCtrF
Binomial pmf for a b-sided dieBinomDie
Binomial expansion of a shifted powerBinomExp
Binomial meanBinomMean
Binomial second momentBinomMom2
Peak height of the binomial distributionBinomPeak
Binomial success probability equalising P(0) and P(1)BinomPeq
Binomial probability mass functionBinomPmf
Binomial varianceBinomVar
Binomial against its Poisson limitBinPoisLim
Binary segmentation changepoint searchBinseg
Bivariate Moran I between two variablesbivariate_morans_i
Backward elimination by the partial F statisticbkelim
Bayesian kriging with a normal-inverse-gamma priorbkrnig
Blackbox-transpose scaling of a respondent-by-stimulus rating matrixBlackboxTranspose
Bliss points from preference ratingsBlissPoints
Block bootstrap for dependent / time-series datablock_bootstrap
Resampling for spatially dependent dataBlockBootstrapGrid BootstrapBands StationaryBootstrap ToroidalShiftTest
Discretisation of a rectangular blockBlockDiscretize
Block weights from group labelsBlockWeights
BLUP of a random interceptBlupint
BLUP of random intercept and slopeBlupslope
Normal approximation to the binomial distribution functionbnappx
Manski-Pepper MTR-MTS bounds (the returns-to-schooling application)Bndapp
Empirical coverage of replicated intervals, tested against nominalBndcvr
Imbens-Manski interval from replicated estimates of the two boundsBndfre
Test-inversion confidence set for an interval-identified scalarBndinf
Bounds on the causal odds ratio for a binary outcomeBndlgt
Intersection bounds from many candidate lower and upper boundsBndlmm
Balke-Pearl sharp ATE bounds by linear programmingBndlpm
Sharp quantile bounds for a selectively observed outcomeBndmoq
Negative-only treatment bound (decreasing monotone treatment response)Bndngt
Bound the complier effect when defiers are not ruled outBndnmt
Nonparametric (kernel) worst-case regression boundBndnpr
Naive gross bound on the average treatment effectBndnvg
Positive-only treatment bound (increasing monotone treatment response)Bndpos
Coordinate projection of a d-dimensional identified setBndsbs
ATE bound under monotone treatment selectionBndsdo
Worst-case bounds for a monotonically transformed outcomeBndtfm
Validity check for a collection of bound assumptionsBndvld
Batch-normalisation running statistics and inference transformBnrunstat
Compound-outcome worst-case boundBnscbo
Confidence set for a partially identified parameter (alias)Bnscnf
Complier means, principal-strata shares and the resulting ATE boundBnscom
Confidence interval for a partially identified parameter (alias)Bnscrf
Identified set as the zero-level set of the moment-inequality criterionBnsiii
Intersection of the instrument bound and the shape boundBnsipv
Sample-selection bound for a selectively observed outcomeBnssel
Test a null value against the Imbens-Manski confidence intervalBnstst
Intersection bounds on the ATE under an exclusion restrictionBnstvr
Bayesian online changepoint detection (Gaussian run model)Bocpd
Bonferroni FWER correctionbonferroni
Means of the book's five-point data setBookMeans
Nonparametric bootstrap inferencebootstrap
.632 and .632+ bootstrap estimators for prediction errorbootstrap_632
Generic bootstrap CI wrapper for any effect-size functionbootstrap_effect_size_ci
Bootstrap .632 / .632+ validationbootstrap_validate
Bottom-up reconciliation of a hierarchical forecastBottomup
Kitagawa (2015) test of instrument validitybound_monotone_test
Coding-theory results from MacKayBoundedDistanceNoise CodeLengthDecomposition McGillInteractionInformation RepetitionErrorApprox RobustSoliton RunlengthCapacity SelfDualCodeCheck
Box-Pierce Q test for autocorrelationBoxpierce
Bray & Curtis (1957) dissimilarity between two non-negative vectorsBrayCurt
Brenier optimal transport map in one dimensionBrenier1d
Bridge sampling ratio of normalizing constants (Meng-Wong)Bridgs
(IPCW) Brier score for survival modelsBrier
Brier score for a categorical predictive distributionBrierscore
Default hyperparameters of the Bayesian ridge regression priorBrrhyper
Bootstrap percentile CI for the indirect effect in simple mediationBsmed
Betweenness centrality by Brandes' algorithmBtwcent
Bucher adjusted indirect comparisonBucherind
Climate and agreement statisticsBudykoOlr EmpiricalBreakdownPoint FleissKappa PrewhitenedMannKendall
Agricultural design: buffer width, wetland sizing, range condition, rotations, variable-rate zones, drain spacingBufferStripWidth DrainWaterTable HooghoudtSpacing RangeCondition RotationScore VariableRateZones WetlandAreaPkc
Build a complete chain from a list of entriesbuild_chain
Burr (type XII) distributionBurrDist
Butterworth bandpass filterbuttbp
Butterworth bandstop (notch) filterbuttbs
Butterworth highpass filterbutthp
Butterworth lowpass filterbuttlp
Bivariate Cauchy densitybvcchy
Conditional distribution in a bivariate normalbvncnd
Joint density of X and Y = mX + ZBvnModel
Bivariate normal density and distribution functionBvNormDist
Bivariate Poisson distributionBvPois
Besag-York-Mollie disease-mapping log-posterior kernelBymfit
Calls-for-service demand and queueing-based staffingCallDemandModel ErlangC PatrolCarRequirement StaffingRequirement
Valid interval for the CAR dependence parameter rhocar_rho_bounds
Haining's least-squares estimator of the CAR dependence parametercar_rho_ols
Cardioid distribution on the circleCardioid
Spatial MCMC: Poisson-CAR target, Metropolis-Hastings, HMC, NUTS and parallel temperingCarPoissonTarget HmcSpatial MhSpatial NutsSpatial TemperedSpatial
Latent Gaussian fields and spatial GLMM simulationCarPrecision GmrfSimulate SarCovariance SpatialGlmmSimulate
Gaussian conditional autoregressive (CAR) modelscarbym cargmm caricar carjac carres carsim carvar
Categorical distributionCategoricalDist
Pick the next item: maximum Fisher information at the current thetaCatnext
Cochran-Armitage test for a linear trend in proportionscatrnd
Cauchy weight function for iteratively reweighted least squaresCauchw
Cauchy combination test (Liu and Xie 2020)cauchy_combination
Causal formulas: E-value, mediation and the front-doorcausal_e_value causal_mediation_baron_kenny frontdoor_adjustment frontdoor_criterion front_door mediation_analysis mediation_formula unmeasured_conf_bias
Backdoor-adjusted average treatment effect by stratificationCausbckd
Double/debiased ML for the partially linear model (DML2)Causdr2
Generalizability diagnostics from trial and target sampling scoresCausgsw
IPW average treatment effect on the Crump-trimmed overlap sampleCausipw
Natural direct and indirect effects, then split each againCausmnde
Sharp regression-discontinuity estimate by local linear fitsCausrdd
Fuzzy regression-discontinuity estimate (Wald ratio of jumps)Causrddf
Imbens-Kalyanaraman plug-in bandwidth for RDD (NBER w14726)Causrddh
Targeted maximum likelihood estimator of the ATECaustmle
Generalize or transport a randomized-trial effect by weightingCaustrnsp
Unmatched case-control ORCcdsgn
Categorical cross-entropy lossCcelo
Cross-classified membership weight matrixCcmem
Water quality indicesCarlsonTsi CcmeWqi DoSaturation WeightedArithmeticWqi
Nakagawa-Schielzeth R-squared for a mixed modelCcngg
CCRSO Table 1 - 5-year average annual conditional releasesCCRSO_TABLE1_RELEASES
CCRSO Table 2 - prisoner flow 2013/14-2017/18CCRSO_TABLE2_FLOW
CCRSO/StatsCan Table 3 - 2018 age distributionCCRSO_TABLE3_AGE
Controlled direct effect at a fixed mediator valueCde
Years of life lost and the cost-effectiveness planeCdyll Hecea
Centralization indicesCentralizationIndex
Real cepstrumcepst
CFA multi-factor with cross-loadings allowedCfafm2
CFA one factor, ML estimationCfaftr
cgnonl_beta_fletcher_reevescgnonl_beta_fletcher_reeves
cgnonl_beta_polak_ribierecgnonl_beta_polak_ribiere
cgnonl_cubic_interpolatecgnonl_cubic_interpolate
cgnonl_line_search_frcgnonl_line_search_fr
cgnonl_nonlinear_cgcgnonl_nonlinear_cg
One step of the hash chainchain_entry
Channel capacity by the Blahut-Arimoto algorithmChancap
Change vector analysis and thematic map accuracyAccuracyAssessment ChangeVector
Asymptotic-variance check for an IPW marginal structural modelChasym
Method cheat sheetcheatsheet
Chebyshev polynomial basis of the first kindChebbasis
Check referential integrity (child FK -> parent PK)check_referential_integrity
Chernoff bound on an upper tailChernbnd
Penalised mean-change segmentation via PELTChgseg
Chi-squared goodness-of-fit testchi2_goodness_of_fit
Chi-squared test of independencechi2_independence
Tail-dependence chiChiDep
The (N - 1) chi-square test for a fourfold tablechin1
Arc and vehicle routingChinesePostman MultiDepotVrp PeriodicVrp PickupDeliveryInsertion SolomonVrptw StochasticRouteCost
ChIP-seq candidate-peak significance (MACS dynamic lambda)Chipsq
Chi-square test with a Monte Carlo p-valuechisqmc
Cholesky (LU) simulation of a Gaussian random fieldCholeskySim
Chow forecast (predictive-failure) test (Chow 1960)Chowfc
Chernozhukov-Lee-Rosen intersection bounds with independent cellsChrbnd
chronos_dequantizechronos_dequantize
chronos_detokenizechronos_detokenize
chronos_forecast_summarychronos_forecast_summary
chronos_mean_scalechronos_mean_scale
chronos_quantile_binschronos_quantile_bins
chronos_quantizechronos_quantize
chronos_tokenizechronos_tokenize
chronos_uniform_binschronos_uniform_bins
Cinelli-Hazlett sensitivity to an unobserved confounderChzlt
Cumulative incidence function under competing risksCif morie_survival_cif
Error-bar overlap ruleCiOvlap
Circular summaries and von Mises maximum likelihood (circular package conventions)CircularSummary VonmisesMle
Circular uniform distributionCircUnif
CKAN Metadata for Open Data APIsckan_metadata
Vehicle routing, trip distribution, mode choice, assignment and signalsClarkeWrightVrp GravityDistribution LogitModeShares TrafficAssignment WebsterSignal
Classical (Torgerson) multidimensional scalingClassicalMds
CLUB upper bound on mutual informationClbuvc
Distance-dependent CRPClcrp
Common Language Effect Size (probability of superiority)cles
Command-line analysis entry pointcli_main
Cliff's deltacliffs_delta
CLIP image-text similarityClipsi
CLIP image encoderClipxi
Closeness centralityClocent
Centred log-ratio transform of a compositionClr
Inverse centred log-ratio transformClrinv
Geometric median of a composition in clr coordinatesClrmedian
Principal component analysis in centred log-ratio coordinatesClrpca
Fraction of a node neighbours that are themselves connectedClstcoef
One-stage cluster sample: every element of each sampled clusterClus1
Choose the cluster size that buys the most precision per unit costClusdes
SNP-distance sequence clusteringCluseq
Spatial clustering indicesClusteringIndex
ControlNet attachmentCncpat
Conditional negative definiteness of a semivariogram matrixcndchk
Conditional entropy of a 2-D joint pmfCndent
Conditional mutual information of a 3-D joint pmfCndmi
Cinelli-Hazlett sensitivity under a hypothesised confounderCnffvw
Concurrent calibration with anchor itemsCnsint
Rosenbaum sensitivity bounds, Wilcoxon signed-rankCnsRos
Cochran's Q testcochrans_q
Extract coefficients from method for 'morie_lm' objectscoef.morie_lm
Fixed-effect estimates of a morie mixed modelcoef.morie_lmm
Coefficient of variationcoefficient_of_variation
Cohen's d for independent samplescohens_d
Cohen's f from eta-squaredcohens_f
Cohen's kappa for two raterscohens_kappa
Cohen's w for chi-squaredcohens_w
Two Gaussian fields with a constant spectral coherenceCoherentFields
Fair-coin Heads-count pmfCoinPmf
Variance of one fair coin flipCoinVar
ColBERT late interactionColbrt
Cold-start user fallbackColE
Comprehensive multicollinearity diagnosticscollinearity_diagnostics
Recall at kColMet
Construct a column rulecolumn_rule
node2vec embeddingsComemb
Louvain community detectionComlou
Commands grouped by categorycommands_by_category
Neighbours present in one weights matrix but not the otherCompareNeighbours
Centre of a compositional data setCompcen
Closure operator C(x) onto the simplex of constant sum 'total'Compclos
Aitchison distance between two compositionsCompdist
Geometric mean of the parts of a single compositionCompgeo
Aitchison inner product on the simplexCompip
Jensen-Shannon divergence for compositional dataCompjsd
Lloyd k-means on compositions, run in clr coordinatesCompkm
Score knowledge-graph triples in a complex embedding spaceComple
Mean of a compositional sample taken in log-ratio coordinatesComplrm
Aitchison norm of a compositionCompnorm
Shannon entropy of a compositionCompshan
Treatment effect on a composition, estimated in clr coordinatesComptml
Total variance of a compositional data setComptotvar
Comprehensive goodness-of-fit statisticscompute_goodness_of_fit
Compute leverage and influence diagnosticscompute_influence
Compute residual diagnosticscompute_residuals
Variance Inflation Factorscompute_vif
Variation matrix: the pairwise log-ratio variancesCompvar
Modified percentile bootstrap for two variancesComVar2
Turning-bands conditioning, ensembles and diagnostics of simulationsBoundaryProbability ClassProportions ConditionalTurningBands Connectivity DirectionalVariogram IndicatorVariogram StandardiseRealisations TbBandConvergence TbEnsemble
Configuration model with a prescribed degree sequenceConfigmodel
Confidence intervals for method for 'morie_lm' objectsconfint.morie_lm
Resampling-based clustering: consensus, evidence accumulation, stabilityClusterStability ConsensusClustering EvidenceAccumulation
Spatially constrained hierarchical clusteringConstrainedHierarchical
Huber's epsilon-contamination neighbourhoodContam
Continued fraction expansion of a real numberContFr
Continued fraction convergents of piConti
Contours: isobands, clipping, band quantities, labels, smoothingContourBands ContourClip ContourFill ContourLabels ContourQuantity ContourSmooth
Content-based recommendationContRC
SimCSE contrastive sentence embeddingContse
Convex-hull shape metrics and alpha shapesAlphaShape ConvexHull Delaunay HullMetrics TriangleQuality
Convergent validity of a reflective constructConvgs
ConvNeXt blockConvnx
Cook (1977) distance for a linear modelCooksD
Bivariate copula densitiesCopulaDens
Pairs needed for a correlation confidence interval of given limitscorcin
Comparison and pooling of independent correlation coefficientscorcmp
Confidence interval for a correlation via Fisher's zcorrci
Correlation distance between two objectscorrelation_dist
Pairwise correlation matrix with p-valuescorrelation_matrix
Pairwise correlation matrix with significance starscorrelation_table
Test of a Pearson correlation against zero or a hypothesised valuecorrho
Admissible range of a correlation given two otherscorrng
Sample size or power for the test of a correlationcorss
Williams' test for two dependent correlationscorwil
Sample size for a correlation confidence interval of given widthcorwsn
Covariance vanishing test for independenceCovIndep
Coverage correction of sampling weights to known population totalsCovpop
COVRATIO effect of deleting obs i on the precision of beta-hatCovrat
Covariance by the shortcut formulaCovShort
Covariance of zero-mean dataCovZMean
Cox process given its realised intensity fieldCoxProcess
Cox-Snell residuals from a fitted Cox modelCoxsnell morie_survival_coxsnell
Space-time decompositions: CP and Tucker tensors, matrix factorisation, Haar wavelets, harmonic trendsCpAls HaarDwt HaarDwt2d HaarMra HaarMra2d HarmonicRegression MatrixFactorizationAls TuckerHooi WaveletDetrend
Cramer's V for a contingency tablecramers_v
Create a manifest of the environment for reproducibilitycreate_reproducibility_manifest
Cross-validate a model using a user-supplied fit/predict paircross_validate
Chinese restaurant process seatingCrp
Collapsed Gibbs sampler for a CRP mixtureCrpcol
CRP Gibbs sampler with auxiliary parametersCrpgib
Cumulative incidence function under competing risksCrrcim
Cross entropy of p relative to qCrsent
Road, construction, vibration and underwater noise; dose-responseConstructionNoise CrtnRoadNoise NoiseAnnoyance NoiseHealthRisk UnderwaterPropagation VibrationPropagation
Crypto-shred: destroy a KEK and report what that coverscrypto_shred
Inverse of a compound-symmetric matrixcsinv
Crime Severity Index, U-learner, repeated k-fold indices, FastICA and rStress MDSCrimeSeverityIndex CsiWeights FastIca RepeatedKfoldIndices RstressMds ULearnerCate
DCLF and MAD Monte Carlo tests of complete spatial randomnessCSRGlobalTest
Concordance statistic (C-index) for survival modelsCstat
McDonald's omega totalCtomeg
Pearson and adjusted residuals of a contingency tablectresid
Cronbach (1951) coefficient alphaCttAlpha
Cronbach (1951) alpha with each item deleted in turnCttAlphaMax
Cuckoo search via Levy flightsCuckooSearch
Cumulative incidence function (alias of Crrcim)Cumcif
Curvature and viewshedCurvature Viewshed
Functional PCA, graph convolution and attention, persistent homology, possibilistic clustering, REML componentsCrossedRandomEffects CurveFpca GatLayer GcnLayer NestedRandomEffects PersistenceLandscape PossibilisticCmeans RemlComponents RipsPersistence SgcRidge
Gomory cutting-plane method for integer linear programsCuttip
Hoeffding confidence bound for a cross-validated riskcvbnd
Convert Cohen's d to NNT given a control event rated_to_nnt
Convert Cohen's d to odds ratiod_to_or
Convert Cohen's d to Pearson rd_to_r
D8 flow direction, accumulation and watershed (terra conventions)D8FlowDirection FlowAccumulation Watershed
D'Agostino-Pearson omnibus normality testdagostino_pearson
Dagum distributionDagumDist
MORIE Dataset Catalogdataset_catalog
Density-based clustering: DBSCAN and OPTICS (dbscan conventions)DbscanClusters OpticsOrdering
DCC(1,1) GARCH front endDccgrch
Basic biomedical signal measuresDcsub Prdur Sactv
One DDIM reverse stepDdimst
Tabular Double Q-learning on an explicit finite MDPDdqn
Decision curve analysisdecision_curve_analysis
Doob decoupling testdecoupling_test
DeepFMDeepF
DeepWalk node embeddingsDeepw
DeepWalk node embeddings (alias of Deepw)Deepwk
Deformable DETR attentionDefdtr
Applied methods: FTC integral, Fredholm inverse problem, scale-test ARE, custody credit, posterior variances, utility shocks, PMM, TD3 and CV2custody_days_credit cv2_genomic definite_integral gibbons_are_scale_tests horowitz_fredholm_eq irt_variance_legislator mi_pmm simulate_utility_shocks td3
Design effect DEFF from the two variancesDeftef
Degree matrix and volume of a graphDegmat
Meshes: 3-D Delaunay tetrahedralisation, 3-D Voronoi cells, Ruppert refinementDelaunay3D RuppertRefine Voronoi3D
Delaunay triangulation by Bowyer-Watson insertionDelaunayTriangulation
Delete-d (generalised) jackknifedelete_d_jackknife
Density and prototype clustering: DENCLUE, FLAME, PFCM, growing neural gasDenclue FlameClustering GrowingNeuralGas PossibilisticFcm
Reverse chaindenoise diffusionrec diffusionrecommender diffusion_rec
Interval probability from a density on a gridDensProb
Centered-interval probability from a densityDensProbC
Area deprivation indices (Townsend, Carstairs)DeprivationIndex
Depth of a point as the thinnest halfspace through itDepthH
Stahel-Donoho projection depthDepthP
Liu simplicial depthDepthS
Derive one key per context, all independentderive_context_keys
Design effect of unequal weighting and clusteringDesigeff
Sobol design pushed through the prior's inverse CDFdesign_from_prior
Bootstrap optimism-corrected performancedetect_overfitting
DETR set predictionDetrbb
Linear detrending of a seriesDetrnd
Deviance residuals from a fitted Cox modelDevresid morie_survival_deviance
Detrended fluctuation analysis (DFA)dfa
DFBETAS, the scaled per-coefficient deletion influenceDfbetas
DFBETAS scaled change in coefficient j when obs i deletedDfbetb
DFFITS scaled change in fitted value when obs i deletedDffit
DFFITS, the scaled deletion influence on the fitted valueDffitsols
Deep Graph InfomaxDgi
DiD contrast of eq. (13.7) under arbitrary unit weightsdid_estimate
Heterogeneous ATT: DiD taken locally under forest weightsdidforest did_forest
Variance of a fair die rollDieVar
Differential entropy of a density given on a gridDifent
DiffPool differentiable graph poolingDiffP
Difference quotient of x squaredDiffQuot2
Difference quotient of x to the nDiffQuotN
Mantel-Haenszel differential item functioning statisticDifmh
DIF p-difference per itemDifpst
SIBTEST differential item functioning (Shealy and Stout 1993)Difsib
Dimensionality of spatial dataDimensionality
D-infinity and multiple flow direction routingDinfFlowDirection MfdFlowAccumulation
DINO multi-crop consistencyDinmlt
DINO teacher centring and sharpeningDinocenter
DINO self-distillation cross-entropyDinoloss
DINOv2 representation objectiveDinov2
Solve a linear Diophantine equation ax + by = cDiophs
Farey sequence of order nDiopT
Multiple-point simulation from a training imageDirectSampling
Dirichlet-multinomial conjugate modelDiripr
Landscape shape and fragmentation indicesDissectionIndex ForestFragmentation
Dissimilarity and segregation indicesDissimilarityIndex
Temperature-scaled knowledge-distillation lossDistilkl
Bilinear triple score with a diagonal relation matrixDistM
District compactnessDistrictCompactness
Fornell-Larcker discriminant validityDivgvs
Divergent transition count and rateDivrate
Dixon (1953) ratio for the most extreme observationDixonQ
de Chaisemartin-D'Haultfoeuille DID_M estimatorDoctide
Doob Federal Court Affidavit - national-aggregate trend analysesdoob_trends
Moments accountant for DP-SGDDpacct
Blackwell-MacQueen predictive ruleDpedt
GEM stick-breaking weightsDpgem
Data-processing inequality for a Markov chain X -> Y -> ZDpineq
l-diversity of a released table, in all three sensesDpld
Dirichlet process mixture modelDpmem
Pitman-Yor two-parameter processDpparit
Lewontin's D' for two biallelic loci from unphased genotypesDprime
Dirichlet-process stochastic block modelDpsbm
Test a Dirichlet-process partition cluster count against its priorDpsing
Differentially private variance of bounded dataDpvar
Adaptively-weighted AIPW for data collected by a banditDrbnk
Finite-sample size correction for the doubly robust DiD estimatorDrbsze
Callaway-Sant'Anna event-study aggregation of doubly robust ATT(g,t)Drcef
Cluster-robust inference for the doubly robust DiD estimatorDrclt
DiD with a continuous treatment: ATT(d|d) levels and ACRT slopesDrctf
Heterogeneous conditional ATT: the DR-DiD moment inside each stratumDrhtg
LP-DiD: local-projection difference-in-differences with clean controlsDrlp1
Negative-control falsification for the doubly robust DiD estimatorDrnpc
Apply a dropout mask with inverted scalingDropmask
Experimental selection correction: an RCT-validated control functionDrrct
Doubly robust DiD with a spatial lag of treatmentDrspa
Direct and spillover ATT under an exposure mappingDrspr
Doubly robust DiD over a staggered adoption design: the ATT(g,t) tableDrsta
Variance-stabilised DR-DiD: trim the DR weights, report the ESSDrvst
Percentile bootstrap confidence interval for the indirect effect abDssoot
DSSP secondary-structure assignment from backbone coordinatesDsspAssign DsspHbondEnergy
Value of a dynamic treatment regime under a marginal structural modelDyntmt
E-value for unmeasured confounding (continuous-ATE scale)e_value
E-value for a standardised mean difference (Cohen's d)e_value_d
E-value for a hazard ratioe_value_hr
E-value for an odds ratioe_value_or
E-value for a risk ratioe_value_rr
Augmented IPW estimator of the ATEEaiprl
EAP ability estimate with its posterior sd and Fisher informationEapinfo
Energy Bayesian fraction of missing informationEbfmi
Empirical Bayes rate smoothing and probability mapsEbGlobal EbLocal ProbabilityMap
Soil process indicesCesiumRedistribution Ec25Correction IpccSoilCarbon RweqWindErosion
Extended-connectivity fingerprint, radius 2 (ECFP4)Ecfp4
Extended-connectivity fingerprint, radius 3 (ECFP6)Ecfp6
Pan-Tompkins QRS / R-peak detectorecgdet
Levenshtein distance between two sequencesEditdist
E-divisive multiple changepoint estimation (energy distance)EDivisive
Number of factors to retainEfaNfactors
Build an effect-size resulteffect_size_result
Comprehensive effect-size calculationseffect_sizes
Effective sample sizeeffective_sample_size
Treatment effect estimators and marginal-effects extenderseffects
Test-and-release efficacy (eq. 2 of Ashcroft et al. 2021)efficacy_test_and_release testandrelease
Effect modification on the additive and the multiplicative scaleEffmod
Eigenvector centralityEigcent
Choose k from the spectrum: the gap after the small eigenvaluesEigengap
Extended Kalman filterEkfF
Cluster detection beyond the circular scanCuzickEdwards EllipticScan FixedCircleScan FlexScan FlexZones LawsonWaller NormalScan
Ellison-Glaeser agglomeration and Duranton-Overman K-densityCoagglomerationIndex DurantonOverman EllisonGlaeser
Lasso, elastic net and principal component front endsElnetr Lasr Pcaprx
EM imputation under a multivariate normal modelem_imputation
EM step (single iteration) for random-effects varianceEmaxr
Embedding quality, alienation coefficient and dissimilarity checksAlienationCoefficient DissimilarityCheck EmbeddingQuality
Empirical Mode DecompositionEmdtsm
Activity-data times emission-factor inventoryEmisinv
EM for state-space parametersEmkfst
Robbins' nonparametric empirical BayesEmpbnp
Empirical-Bayes standardized Moran I for area ratesempirical_bayes_moran
Encode text with a trained BPE modelencode_bpe
Elastic net penalized residual sum of squaresEnetobj
Bias correction for exposure misclassificationEpbias
Expected prediction error of least squares at a test point (ESL eq. 2.27)Epeols
Population least-squares coefficient from second moments (ESL eq. 2.16)Epetheor
Epidemic curve smoothingEpicur
Epsilon-squared (Kelley, 1935)epsilon_squared
Mean-mean equating coefficientsEqmm
Mean-sigma equating coefficientsEqms
Environmental noise level statistics and rating indicatorsAircraftDnl CombineLevels DayEveningNight EquivalentLevel LevelStatistics SoundExposureLevel
Erdos-Renyi G(n,p)Erdosg
Exponential random graph modelErgmod
Closed-form results from Grimmett and StirzakerAcfSpectralDensity ArSpectralDensity BerksonCorrelation BetaBinomialPmf BivNormDependence ErlangRenewal MaAutocorrelation MaximalCorrelation MillsConditionalMean SimpleEpidemicDuration StirlingGammaRatio TelegraphProcess WienerConditionalCorrelation
Spatial multiplier of an autoregressive errorErrorOperator
Elliott-Rothenberg-Stock GLS-detrended ADF (DF-GLS)Erstst
Escape whitespace as U+2581, optionally prefixing the markerescape_whitespace
Lasso by cyclic coordinate descentEsllso
Exploratory SEM with target rotationEsmoeg
Echo state network (reservoir computing)Esnnts
IPW-weighted OLS ATEestimate_ate
G-computation ATE with its sandwich SEestimate_ate_gcomputation
Estimate the proportion of true null hypotheses (pi0)estimate_pi0
Partially Linear IV (PLIV) / Local Average Treatment Effectestimate_pliv
Partially Linear Regression (PLR) ATEestimate_plr
Spectral graph indices and label-propagation communitiesCommunicability EstradaIndex LabelPropagation ModularityMatrix PerronFrobenius RandicIndex
Expectation of a sum from the convolved pmfEsumConv
Expectation of a sum of n i.i.d. variablesEsumIid
Effective resistance between nodesEsumtv
Eta-squared from ANOVA sums of squareseta_squared
ETS state-space (error/trend/seasonal)Etsmod
Polynomial GCD via EuclidEuclP
E-values and the joint-significance mediation testEvaltw Evalu Jntmed
Empirical angular measure of the k largest radiiEvangia
Runs declustering of threshold exceedancesEvdec
Expected shortfall of a GPD tail above a thresholdEvespot
Heffernan-Tawn conditional extremes modelEvhpvr
Husler-Reiss bivariate dependenceEvhrid
Mean residual life plotEvmrlp
Bivariate logistic max-stable distributionEvmsexp
Empirical Pickands dependence functionEvpdfn
Peaks-over-threshold GPD fit + scale-invariance checkEvpot
Event-study leads + lags coefficientsEvstud
Trimmed L-moments TL(s,t) of a sampleEvtlmom
Upper record times and counts in a sequenceEvtrecords
Threshold selection by local variance of the GPD estimatesEvtsthr
Value-at-risk from a fitted GPD tailEvvarpot
Exp3 exponential-weight adversarial banditExp3
HKDF Expand: counter-mode OKMexpand
Indirect standardisation and standardised ratiosExpectedCounts StandardizedRatio
Exponential waiting-time interval probabilityExpIntP
Exponential (Laplace) kernel matrixExpkern
Human-readable description of a morie output CSVexplain_file
Names of all morie output CSVs with registered explanationsexplain_known_files
Linear approximation to the exponentialExpLinApx
Explanatory powerExplPow
Mean of an exponential waiting timeExpMean
Second moment and variance of an exponential waiting timeExpMom2
Exposure (interaction) indexExposureIndex
Taylor series for the exponentialExpTaylor
Certify that a test sequence has exponentially small error probabilitiesExptest
FDR / nonparametric / quantile / latent-class extenders (Phase 1.n)extenders_nonparam
RDD / IRT extenders (Phase 1.l)extenders_rdd
Spatial / multivariate / meta-analysis extenders (Phase 1.m)extenders_spatial
Stats extenders (Phase 1.k)extenders_stats
External validation on new dataexternal_validate
HKDF Extract: PRK = HMAC(salt, IKM)extract
Uncapacitated facility locationFacilityLocation
Maximum-likelihood factor analysis by EMfactor_analysis_ml
Factorial kriging of one nested componentFactorialKrige
City-agnostic data profiles for the predictive-policing auditfairness_cityprofile
Group-disparity metrics for auditing classification systemsfairness_metrics
Multi-city temporal disparity auditfairness_temporal
Fallback (fixed-sequence with alpha spending)fallback_procedure
Fano lower bound on the error probability of an M-ary testFano
Farrington flexible algorithmFarsig
Fay-Herriot and Battese-Harter-Fuller small-area EBLUPsBhfEblup FayHerriot
Spatial accessibility: FCA family, gravity access and nearest facilityFcaAccessibility GravityAccessibility NearestFacility RadiationFlows
Functional-class fingerprint, radius 2 (FCFP4)Fcfp4
Functional clustering by k-means on B-spline coefficientsFdaclust
First-difference model for elongated field layoutsfdiffm
Csiszar (1967) f-divergence D_f(p || q) = sum q f(p/q)FDiverg
Renewal-equation forecastFerror
Forecast error variance decomposition from a VAR(1)Fevdc
Priority-flood depression fillingFillSinks
Kriging filters, indicator ccdf, kriging efficiency and collocated co-krigingCollocatedCokriging FilteredKrige IndicatorCcdf KrigingEfficiency
FILTERSIM multiple-point simulationFilterSim
Final epidemic size (Kermack-McKendrick)Finalsz
Fine-Gray subdistribution hazard modelFinegray morie_survival_finegray
Firefly algorithmFireflyAlgorithm
Fisher's method for combining independent p-valuesfisher_combined
Fisher's exact test for a 2x2 tablefisher_exact_test
Fisk (log-logistic) distributionFiskDist
FISTA for the LASSOFistalasso
Posterior fitted values (on the response scale)fitted.morie_bayes_fit
Extract fitted values from method for 'morie_lm' objectsfitted.morie_lm
Fitted values of a morie mixed modelfitted.morie_lmm
Weighted least squares variogram fitting (gstat fit.variogram weights)FitVariogram
Fixed-effects (inverse-variance) meta-analytic poolingfixed_effects_meta
Fixed-sequence (predetermined order) testingfixed_sequence
Fleiss' kappa for multiple ratersfleiss_kappa
Flamingo gated cross-attentionFlmgcr
Flow-capturing location modelFlowCapturingLocation
Maximum flow / minimum cutFlowmm
FlashAttention tiled exact attentionFlsh2
F-test for a nested pair of linear models (ESL eq. 3.13)Fnested
Focal statistics, filters and grey morphologyCannyEdges FilterKernel FocalFilter FocalStatistics GreyMorphology
USDA low-income, low-access (LILA) food desertsFoodDesert
Apply uniform formatting to numeric columnsformat_dataframe
Format a single number according to style conventionsformat_number
Format method for 'morie_otis_result' objectsformat.morie_otis_result
Forward corruption (closed form)forward_corrupt
Cosine and sine Fourier pairs, exactly periodic with 'period'fourier_terms
Finite population correction factor for sampling without replacementFpc
Fraction of missing information of multiply imputed estimatesfraction_missing_information
Frechet-Hoeffding bounds on a joint distributionFrdbnd
Frechet distributionFrechetDist
Friedman's test in F formFriedF
Friedman test (repeated-measures rank ANOVA)friedman_test
Formal derivative of a polynomialFrmlD
Group-disparity metrics for auditing classification and risk systemsfrns_metrics
Generalised predictive-policing disparity auditfrns_predpol
Multi-city temporal disparity auditfrns_temporal
Spatial Shannon-Wiener taxon diversity on a rectangular gridforest_taxon_diversity Frtaxd
Frank-Wolfe conditional gradientFrwol2
Full diagnostic reportfull_diagnostics
Fuzzy c-means and Gaussian mean shiftFuzzyCmeans MeanShift
Fully corrective Frank-WolfeFwlfwd
Test whether the effect of X differs across levels of a modifierFxidf
Genetic algorithm with elitist truncation selectionGa_opt
Wilkinson's GABC log-likelihoodgabc_log_likelihood
Thin-plate spline smoothergam_smoother
Fitting the gamma distributiongamfit
Build a gamma generation-time density on a grid, normalisedgamma_generation_time
Observational-study sensitivity: amplification, U-statistic bounds, crosscut test and design sensitivityAmplifyGamma CrosscutDesignSensitivity CrosscutTest GammaFromLambdaDelta UStatisticSensitivity
GANomaly anomaly score from encoder-decoder-encoder latentsGanomscore
Let each node decide how much to weight each neighbourGat
Multi-head graph attention layerGatemd
GATv2 attention layerGatV2
Gaussian approximation to the centred fair-coin binomialGaussApx
Expected Gaussian count over N repetitionsGaussCount
Domain check for the Gaussian approximationGaussDom
Gaussian conditional log-likelihood (ESL eq. 2.35)Gausslik
Gaussian mechanism for differential privacyGaussm
Gaussian ordinate many standard deviations outGaussTail
Cholesky re-parameterization that makes GBLUP an ordinary mixed modelGblupeq
Genomic BLUPGblupr
Goodman-Bacon three-way composition of the TWFE DiD coefficientGbtcom
ChebNet spectral filterGcnchb
Graph convolution layer before the renormalisation trickGcnemd
GCNII: initial residual plus identity mappingGcnII
Graph convolution with the renormalisation trickGcnL
Gaussian differential privacy: the trade-off functionGdpf
Electoral systems and legislative polarizationGelmanKingIncumbency NetworkPolarization ProportionalSeats RunoffWinner
Generalized lambda distribution (Ramberg-Schmeiser)GenLambda
D study: project a G study onto a proposed facet sizeGenvdm
Generalizability coefficient for the crossed p x i designGenvxt
Expectation of the geometric distributionGeomExp
Generalized ESD test for outliers (Rosner 1983)Gesd
Getis-Ord global G, with its exact randomisation momentsGetisordg
GEV distribution function (Coles 2001 eq. 3.2)Gevcdf
Posterior via Radon-Nikodym under dominationGhosalabsolutecontinuity
Adaptive hierarchical model priorGhosaladaptthm
Bayes's rule with a dominated likelihoodGhosalbayesruleinfinite
Bayesian bootstrap for censored dataGhosalbbcensored
Bernstein-Feller approximation of a CDFGhosalbernsteinfeller
Beta-process definitionGhosalbetaprocdef
Brownian-motion priorGhosalbmprior
Beta-process Levy measureGhosalbpcont
Discrete-time beta processGhosalbpdiscrete
Beta-process path by Poisson jumpsGhosalbppathgen
Semiparametric Bernstein-von Mises for the Cox modelGhosalcoxbvm
Cox-model Bernstein-von MisesGhosalcoxbvmsp
Cox model with a beta-process baselineGhosalcoxmodel
Cox posterior via the partial likelihoodGhosalcoxpost
Credible-set frequentist coverageGhosalcredsetcov
Dirichlet-process Bernstein-von Mises (Brownian bridge)Ghosaldpbvm
Efficient influence function for F(t)Ghosaleffinflfn
Expectation propagation for Gaussian process classificationGhosalepgp
Exponential-link density priorGhosalexplink
Fractional Brownian motion priorGhosalfbmprior
Random-series binary regressionGhosalfrsbinreg
Density estimation via a finite random series priorGhosalfrsdensity
Random-series Poisson regressionGhosalfrspoireg
Finite-random-series regressionGhosalfrsreg
Functional linear regressionGhosalfuncreg
GP length-scale adaptationGhosalgpadaptthm
GP binary-regression contractionGhosalgpbinregcrt
Gaussian contraction-rate equationGhosalgpcrtthm
Gaussian process RKHS, Euclidean caseGhosalgpdefrkhs
GP density estimation contraction rate via the concentration functionGhosalgpdenscrt
Increasing-process prior via an exponentiated Gaussian processGhosalgpincreasingprior
Laplace approximation for GP posteriorsGhosalgplaplace
Gaussian-process prior drawGhosalgppriordef
Histogram (binning) density priorGhosalhistogramprior
Parametric Bernstein-von MisesGhosalinfdimbvm
Mixtures of beta processesGhosalmixbp
Mixture-of-kernels density priorGhosalmixturebasisprior
Bayes-factor model selection consistencyGhosalmodselbic
Nonparametric binary regression with a Gaussian process priorGhosalnpbinaryreg
Nonparametric normal regression with a Gaussian process priorGhosalnpnormalreg
Nonparametric Poisson regression with a Gaussian process priorGhosalnppoissonreg
Neutral-to-the-right functional Bernstein-von MisesGhosalntrbvm
Neutral-to-the-right posterior consistencyGhosalntrconsist
Neutral-to-the-right processesGhosalntrdef
Neutral-to-the-right Levy (Laplace) functionalGhosalntrlevy
Parametric versus nonparametric Bayes factorGhosalparamnpbf
Adaptation to a parametric truthGhosalparamrate
Sequential prior-to-posterior updatingGhosalpriorposteriorupdate
Random basis expansion priorGhosalrandombasisexpansion
Rescaled Gaussian processGhosalrescalgp
Concentration-function termsGhosalrkhsnorm
Riemann-Liouville processGhosalrlprocess
Random-series prior with random dimensionGhosalrndseriespr
Self-similarity of fractional Brownian motionGhosalselfsimgp
Semiparametric Bernstein-von Mises for a smooth functionalGhosalsemiparabvm
Semiparametric efficiency boundGhosalsemiparaeff
Series (eigenexpansion) Gaussian processGhosalseriesgp
Smooth hazard via a Gaussian processGhosalsmhazgp
Stationary GP via Bochner's theoremGhosalstatgpspec
Strict semiparametric Bernstein-von Mises conditionsGhosalstrictsbvm
Strong approximation for the Dirichlet processGhosalstrongapxdp
DP posterior survival and its Kaplan-Meier limitGhosalsurvdpkm
Dirichlet-process posterior with right-censored dataGhosalsurvdppost
Two-model adaptationGhosaltwomodeladp
Universal model weightsGhosalunivweights
Spike-and-slab white-noise adaptationGhosalwnadapt
White-noise full Bernstein-von MisesGhosalwnfullbvm
White-noise linear-functional Bernstein-von MisesGhosalwnlinbvm
Generalized secant hyperbolic distributionGHSecant
Gibbs samplerGibbsm
Maximum pseudolikelihood for Gibbs point processesGibbsPseudolikelihood
Girvan-Newman communitiesGirvanNewman
Goodman and Kruskal's taugktau
Glass's delta - control-group SD denominatorglass_delta
Profile likelihood interval for a GLM coefficientGlmProfCI
Pearson and standardized Pearson residuals for binomial and Poisson GLMsGlmStdRes
Linear programme by the two-phase primal simplex methodGlpopt
Gamma-conjugate posterior for an exponential or Poisson rategmconj
Spatial error model by generalised momentsGMErrorSAR
Generalised moment selection test statisticGmsbound
Gene-set enrichment analysis enrichment score (GSEA)Gnsetenr
GO term enrichment (hypergeometric upper tail)Goenr
Fit a GP emulator to a log-likelihood ensemblegp_fit
Posterior mean and sd at thetagp_predict
Sparse variational GP classificationGpcgs
Gaussian process classification by the Laplace approximationGpcla
GP classification, sparse GPs, warping and deep-GP samplesDeepGpSample GpClassify GpSparse KumaraswamyWarp
Generalized partial credit modelGpcm
Gaussian process regression, sampling and fittingGpCovariance GpFit GpLoo GpPredict GpSample
GPD distribution function of threshold excesses (Coles 2001 eq. 4.2)Gpdcdf
Generalized Pareto distributionGpdD
Generalized Pareto distribution and its threshold-exceedance fitGpdDistribution Gpfit
Deep kernel learningGpdkl
Density-shift detection on a stream by Kullback-Leibler divergenceGpdsh
Heteroscedastic Gaussian process regressionGphtr
Composing Gaussian process kernelsGpkern
Multi-task Gaussian processGpmlt
Predict from K Gaussian-process experts under a softmax gateGpmoe
Posterior mean of a Gaussian process at new inputsGppost
Gaussian-process regression with a squared-exponential kernelGpreg
Gaussian process regression with the hyperparameters integrated outGpregb
Gaussian process fitted to the residuals of a parametric fitGpresid
GPS-ABC adaptive sampler, Meeds & Welling Algorithm 2gps_abc
Spectral mixture kernel GPGpsps
Sparse variational GP regressionGpsvi
GPT-2 decoder-only language modelGpt2
Predictive variance of a Gaussian processGpvar
Bayesian optimisation: expected improvement under a GP posteriorGpvbo
Gradient descentGradds
Graphs, SAT and CRFs: degree centrality, diameter, betweenness, CDCL, linear-chain CRFCdclSolve CrfFit CrfMarginals CrfViterbi GraphBetweenness GraphDegreeCentrality GraphDiameter
Combinatorial (unnormalised) Laplacian of a weighted graphGraphlap
Community detection: fast greedy modularity and walktrapFastGreedyModularity GraphModularity WalktrapCommunities
Gravity model of flows by Poisson pseudo-maximum likelihoodGravityPPML
Grey wolf optimizerGreyWolfOptimizer
Spatial weights constructionDistanceBandWeights GridContiguity InverseDistanceWeights KernelWeights KnnWeights SymmetrizeWeights WeightsComponents
Samejima graded response modelGrmsam
Signal measures: group delay, noise level, LMS bound, QRS duration, ZCR, spectrogramgroup_delay max_step_size noise_power noise_psd qrs_duration spcgm zero_crossing_rate
Group-time ATT(g,t) under staggered adoptiongroup_time_att
Group-average relationGroupAvg
Grover quantum searchGroverS
Agroclimatic indicatorsChillAccumulation ColdSpellDuration GrowingDegreeDays GrowingSeasonLength LaiFromSavi RainfallAdequacy
Grubbs (1969) test that the most extreme observation is an outlierGrubbsT
SAC model by generalised spatial two-stage least squaresGS2SLSSAC
Stabilized inverse-probability-of-treatment weightsGstabwt
Dorfman group testing operating characteristicsGtDorfman
Prevalence from group testingGtPrev
Group testing regression by Xie's EM algorithmGtRegEM
Space-time models: GTWR, multiscale GWR by backfitting, Gaussian hidden Markov modelsGaussianHmm GtwrFit MgwrBackfit
Gumbel (type I extreme value) distributionGumbelDist
Geographically weighted regression with its diagnosticsGWRBasic
Geographically weighted regression: coefficients, diagnostics and GLMsgwrcoef gwrcv gwrdlt gwrfwl gwrhat gwrlgt gwrpois gwrres gwrstd gwrsur gwrtst
GWR collinearity diagnostics, prediction, F tests and GW summary statisticsGwrCollinearity GwrFTests GwrPredict GwSummary
Geographical kernel weights of one regression locationGWRKernelWeights
Multi-environment genomic model with a genotype-by-environment termGxeblup
Stirling approximation to the half-heads probabilityHalfHeads
Harmonic mean p-valueharmonic_mean_p
Harris hawks optimizationHarrisHawksOptimizer
Spatiotemporal (self-exciting) Hawkes point processhawkes_spatial
Hazard-ratio table from Cox model componentshazard_ratio_table
Hazard ratios with confidence intervalsHazratio morie_survival_hr
Complex cepstrum with phase unwrappinghcepst
Homomorphic deconvolution via cepstral lifteringhdecon
Health inequality indicesHealthConcentrationIndex SpatialGini TheilDecomposition
Hedges' g - bias-corrected Cohen's dhedges_g
Henderson's mixed model equations for the BLUE and the BLUPHendmme
Genomic heritability from a relationship matrixHertbg
Heterotrait-monotrait ratio of correlations (HTMT)Hetero
Marker heterozygosity and min-max normalisationHetlc Mmaxn
Basic reproduction number under heterogeneous mixingHetmix
Hexagonal grid binning (Carr hbin)hexagonal_grid Hexgrd
Higuchi fractal dimensionhfd
Hoeffding's inequalityHffdsg
Hierarchical (serial gatekeeping) Bonferroni procedurehierarchical_bonferroni
Agglomerative hierarchical clustering and tree cutting (hclust conventions)CutTree HierarchicalClustering
Hierarchical normal model: shrinkage of group means towards muHiermodel
Hill numbers of order qHillq
Hillshade (terra shade)Hillshade
Map values onto a target marginal distribution by ranksHistogramTransform
Sequential history matchinghistory_match
HITS hubs and authoritiesHits
Hit rate at kHitsR
Expected steps for a simple random walk to reach a target vertexHittime
HKDF: extract-then-expand, or expand-only on uniform inputhkdf
Hamiltonian Monte CarloHmcsam
In-context learning by prompt-conditioned scoringHmicl
Profile hidden Markov model: forward likelihood and Viterbi alignmentHmmprf
Hidden Markov part-of-speech tagging by the Viterbi algorithmHmmTag
Effect of a treatment rule read off from each time point onwardsHmstrn
Hochberg step-up FWER procedurehochberg
Hockey-stick identityHockStick
Hodrick-Prescott filterHodprc
One indicator per holiday, optionally widened by a windowholiday_matrix
Holm step-down FWER procedureholm
Holm-Sidak step-down procedureholm_sidak
Holm step-down multiple-testing procedure (Holm 1979)Holmadj
Hommel FWER procedurehommel
Hosmer-Lemeshow goodness-of-fit test for logistic regressionhosmer_lemeshow_test
Getis-Ord Gi-star hot and cold spot map with FDR screeningHotcld hot_cold_spots
Hotelling-Downs competition of n candidates over uniform votersHotellingModel
HRV frequency-domain metrics (VLF, LF, HF, LF/HF)hrvfd
HRV nonlinear metrics (Poincare SD1, SD2)hrvnl
HRV time-domain metrics (SDNN, RMSSD, pNN50)hrvtd
Bayesian kriging over the Matern class (Handcock and Stein 1993)hsbkrg
Item response diagnostics: unpredictable voters, Lord's DIF test, SE of theta and average variance extractedAve Hsirt Lordzs Semthe
Best-linear-predictor calibration test for heterogeneous treatment effectsHtebias
Horvitz-Thompson variance of the estimated totalHtvar1
Huber weight functionHuberw
Huber loss functionHubrho
HITS run to convergenceHubsa
Police operations research modelsHypercubeQueue ShortCrimeLattice ShortCrimePde SquareRootLaw
Hypergeometric pmf against its binomial limitHyperLim
Evaluate a hyperplane: value, side and distancehyperplane_side
I^2 heterogeneity statistic (Higgins)i_squared
Pairwise identity-by-descent matrix (PLINK method of moments)Ibdmtx
Intrinsic conditional autoregressive priorIcarbm
The six Shrout-Fleiss intraclass correlations from one rating tableIcc12c
Agreement that counts a systematic rater offset as disagreementIccA
Agreement up to a constant offset per raterIccC
Ideal fourthsIdealf
Rainfall-runoff: IDF curves, unit hydrographs, baseflow and hydrograph summariesBaseflowFilter ConvolveRunoff HydrographSummary IdfFit UnitHydrograph
Inverse distance weighting, cross-validation and modified Shepard weightsIdwCv IdwPowerSearch IdwPredict ShepardPredict
Gravity and spatial interaction modelsIgrav Igravbl Igravcl Igraver Igravfe Igravlm Igravnb Igravrt Igravsq Igravvf Igravwl
Integrated haplotype score (iHS) for one core SNPIhstst
Average causal mediation effects under sequential ignorabilityImai
Impervious-surface indicesImperviousIndices
Wilkinson implausibility rule, eq. (3)implausible
Importance weights over diffusion stepsimportance_weights
Incidence rate difference (IRD)incidence_rate_difference
Build an inclusion proof (audit path) for the given leafinclusion_proof
Incidence rate ratioIncrtio
WAIC and PSIS-LOO computed from the same draws, so they can disagreeInfcrt
Fisher information metric of a parametric familyInfgnt
Infiltration, runoff and erosion modelsInfiltration Rusle ScsRunoff
Install the rmorie command-line launcherinstall_cli
Treatment by covariate interaction in a marginal structural modelIntanl
Interior-point linear programming by the logarithmic barrierIntlpa
Split a total effect into mediation, interaction, both, neitherIntmd4
Intraclass correlation coefficient (Shrout & Fleiss 1979)intraclass_correlation
Effects defined by shifting the mediator distribution, not the valueIntvse
Prevalence from inverse binomial samplinginvbpr
Inverse-prediction interval in a logistic modelInvPredCI
IPW estimate with a replicate-weight (jackknife) varianceIpferd
Barrier interior-point solver for smooth inequality-constrained problemsIpfsfa
IPW sensitivity analysis for a non-ignorable selection mechanismIpwSn
Inverse probability weighting combined with survey design weightsIpwsrv
Flag points outside the Tukey fencesIqrA
Orthogonalised impulse response function of a VAR(p)Irfun
One outer iteration of iteratively reweighted least squaresIrlsfn
Irrigation suitability, solids, loads and treatment removalConstituentLoad IrrigationWaterQuality RemovalEfficiency SuspendedSolids TotalDissolvedSolids
Rasch one-parameter logistic modelIrt1pl
Four-parameter logistic item response modelIrt4pl
Generalized partial credit model (alias of Gpcm)Irtgpc
Samejima graded response model (alias of Grmsam)Irtgrm
Mantel-Haenszel differential item functioningIrtmh1
Masters' partial credit modelIrtprc
Isolation indexIsolationIndex
Contour lines by marching squaresIsoLines
Item information functionItinft
Item nonresponse adjustment by weighting classesItnnrs
Optimal individualized treatment regime chosen by DR-DiD valueItr2dd
Doubly robust DiD with a treatment by covariate interactionItrct1
Iterative Q-learning (backward induction) for a dynamic regimeItrlrn
Anderson-Rubin weak-instrument-robust testIvartest
Moreira conditional likelihood-ratio weak-IV-robust testIvclr
First-stage F statistic for weak instrumentsIvfstage
Sun-Abraham interaction-weighted difference in differencesIwdid
Delete-one (leave-one-out) jackknifejackknife
Jackknife variance for survey estimatesJackvar
James-Stein shrinkage of a vector of normal meansjames_stein
String similarity that rewards a shared prefixJarow
Jarque-Bera test for normalityjarque_bera
Jaya algorithmJayaAlgorithm
Joint entropy of a 2-D joint pmfJntent
Joint shared-frailty model for recurrent events and a terminal eventJntfr
Two-stage joint model for a longitudinal outcome and survivalJntlmm
Johansen test of a linear hypothesis about trimmed meansJohanQ
Johnson SB distributionJohnsonSB
Johnson SU distributionJohnsonSU
Join-count statistics for binary spatial data (Cliff and Ord 1981)Joincnt
Join counts for a map of k coloursJoinCountMulti
Exact algebra: Jordan form, Galois groups, shunting yardGaloisGroup JordanCanonical ShuntingYard
Jensen-Shannon divergence between two discrete distributionsJsdiv
Crime geography: journey to crime, circle hypothesis, hit score and risk terrainCircleHypothesis JtcCalibrate JtcDecay JtcSurface RiskLayers RiskTerrain SearchCost
Jensen-Shannon divergenceJzdiff
Kabsch optimal superpositionKabsch
Kalman filter for the scalar linear-Gaussian state-space modelkalman_filter_1d
Kalman filter for the linear Gaussian state space modelKalmf
Rauch-Tung-Striebel fixed-interval smootherKalmS
k-anonymity check on a set of quasi-identifiersKanon
Cohen's Kappa coefficient of agreement for a two-class confusion tableKappacoef
Cohen (1960) kappa for two ratersKappaCoh
Cohen (1968) weighted kappaKappaWt
Katz centralityKatz
Katz centrality excluding the length-zero walkKatzc
Katz centrality with an explicit baseline weightKatzcn
Rule-of-thumb kernel bandwidthsbwrot kbwrt
Sequential composition of k differentially private mechanismsKcompo
Kernel density estimationkde
KEGG pathway over-representation analysisKeggp
Kendall's tau-b correlationkendall_correlation
Kent (FB5) density on the sphereKentDens
Kernel covariance of a replicated-line predictorKernblup
Kernel-weighted conditional mean and variancekernel_cond_moments
Evaluate a kernel function at point ukernel_eval
Kernel ridge regressionkernel_ridge_regression
Kernel type integer codeskernel-codes KERNEL_BIWEIGHT KERNEL_EPANECHNIKOV KERNEL_GAUSSIAN KERNEL_TRIANGULAR KERNEL_UNIFORM
Kernel change-point analysis (KFDR running-maximum scan)KernelCusum
Gaussian kernel intensity of a point pattern with edge correctionsKernelIntensity
A kernel point of a transferable-utility game by Stearns' transfersKernelPoint
Katz fractal dimensionkfd
Relational graph convolution (R-GCN)Kgnn
Shape of the importance-weight tail, per observationKhatd
Kim and Fording (1998) median voter from party positions and votesKimFordingMedian
Chain rule for relative entropyKlchain
Check the extended Schwartz conditions and return the resulting boundKldsupp
Kullback-Leibler diagnostic between an MCMC chain and its targetKlmcmc
Kalman forward recursion driven by a model specificationKlmflt
Kullback-Leibler divergence with additive smoothing for sparse countsKlmsm1
RTS backward recursion applied to an existing forward passKlmsmh
Partitioning clustering: Lloyd k-means and PAMKmeansLloyd PamMedoids
Point-pattern extras: nearest neighbours, quadrats, Morisita, cross-K, segregationCrossK KnnDistances MorisitaIndex QuadratTest SegregationTest
Space-time interaction, Mantel, geographic profiling and related toolsAoristicWeights CrossCorrelation EofAnalysis GeographicProfile Kde2d KnoxTest MantelTest NearRepeatTable
Robustness of an inference: percent bias to invalidate, RIR and ITCVKonfound
Pointwise confidence interval for a Kaplan-Meier curve (Greenwood)Kpmnci
Kelejian-Prucha moment system for a spatial autoregressive errorKPMoments
Hall-Wellner simultaneous confidence band for a Kaplan-Meier curveKpmsmp
Stochastic Kronecker graph edge-probability modelKrfgrp
Kenward-Roger adjusted F test for fixed effectskrftst
Ordinary kriging with a spherical variogramKrig
Ordinary kriging (alias of Krig)KrigCl
Kriging prediction and variance (gstat conventions)Krige
Cross-validation of kriging (gstat krige.cv)KrigeCV
Lognormal kriging with the unbiased back-transformKrigeLognormal
Covariance of a gstat vgm modelKrigingCovariance
Gaussian quantile and exceedance maps of kriging predictionsKrigingExceedance KrigingQuantile
Augmented universal kriging systemKrigingSystem
Ordinary kriging interpolation (alias of Krig)Krigsm
Krippendorff's alpha reliabilityKrpalp
Kernel ridge regression in its dual formKrreg
Ridge regression carried out on inner products instead of featuresKrrFDA
Kruskal-Wallis H-testkruskal_wallis
One-sample Kolmogorov-Smirnov testks_test_one_sample
Two-sample Kolmogorov-Smirnov testks_test_two_sample
K-sample Anderson-Darling testKsamp
Two-sample Kolmogorov-Smirnov test of H0: F1 = F2Kstest1
Kendall rank-correlation test for monotone trend (Kendall 1938)Ktrend
Quantize one vector: rotate, scalar-quantize, dequantize, rotate backKvquant
Multivariate median that minimises total distance, not squared distanceL1med
Ridge (weight-decay) regularized lossL2pen
Patches of a categorical rasterLabelPatches
Lattice spatial autocorrelation statisticsLacbivl Lacgear Lacgetg Lacgmc Laclihh Laclihl Laclimc Laclisa Lacscat Lacscor Lactest Lacvgm
Spatial lag operatorLagOperator
Lanchester attrition modelsLanchesterFit LanchesterSimulate LanchesterSquareOutcome
Landmark analysis of survivalLandmark morie_survival_landmark
Landscape fragmentationLandscapeFragmentation
Eigenvectors of the normalised Laplacian for the k smallest valuesLapeig
Laplacian eigenmap embeddingLapEig laplacian_eigenmaps
Laplace distributionLaplaceDist
Analytic tools: Laplace transform and inversion, Laurent coefficients, Walsh-Hadamard, polynomials, heat equationFunctionalNorm HadamardInverse HadamardTransform HeatEquationSeries LaplaceTransformNum LaurentCoefficients PolyExpand PolyFactorModP QuadraticRoots RationalCancel StehfestInverse TalbotInverse
Eigenvalues of the normalised Laplacian, in increasing orderLapspec
Lasso via ISTA / FISTAlasso_fista
Penalized residual sum of squares of the lasso, with its soft-threshold stepLassoobj
Least squares with an L1 penalty, which selects while it shrinksLassrg
Search theory for search and rescue planningDatumProbabilityMap LateralRange OptimalCircularSearch OptimalEffortAllocation ParallelSweepPod SearchPod SearchSuccess SweepWidth
Random walks, Brownian motion, Brownian bridges and percolationBrownianBridgeUd BrownianMotion CorrelatedRandomWalk CrwMsd LatticeRandomWalk SitePercolation
LayerNorm per-token normalizationLayrnm
L-BFGS-B bound-constrained minimisationLbfgsbMinimize
Nyblom-Hansen test that every OLS parameter is stableLctest
Linkage disequilibrium r-squared between two biallelic lociLdcmpr
Hadamard response estimator for local differential privacyLdphr
LD-based variant pruning (PLINK indep-pairwise scheme)Ldprun
Leave-one-out cross-validationleave_one_out_cv
Le Cam's bound on the posterior mass of an alternative setLecam
Partition a graph into well-connected communitiesLeid
Leiden refined community detectionleiden_grph LemR
Levene's test for equality of varianceslevene_test
Kaplan-Meier estimator with left truncation (delayed entry)Lftrt
Cox point processesLgcpMoments LgcpSimulate ThomasPcf ThomasSimulate VoronoiResiduals
Fit the logistic-normal by transforming, then fitting a normalLgtnfit
Additive logistic-normal density at a compositionLgtnpdf
Draw compositions from a logistic-normal via the alr inverseLgtnsim
Runtime license-compatibility guard for morielicense_check
Likelihood ratio test for nested modelslikelihood_ratio_test
Lilliefors test for normality with the Dallal-Wilkinson p-valuelilef
Lilliefors goodness-of-fit testlilliefors_test
Linformer linear-complexity attention via low-rank projectionLinatt
Bootstrap-t all-pairs comparison of trimmed meansLinconBT
Linear sum assignment (Hungarian method)LinearAssignment
Pregibon link testlink_test
Link prediction scores: common neighbours, Adamic-Adar, resource allocationLinkpr link_prediction
The Y = mX + Z correlation modelLinModel
Y = mX + Z model from sigma_x, sigma_y and rLinModelInv
Classify and solve a linear equation systemlinsys
Linear Thompson sampling for contextual banditsLints
Oral drug-likeness rule filtersEganEgg LipinskiRuleOfFive OralBioavailabilityRules VeberRules
Local Moran's I per location (re-export)Lisamoran
Little's test of missing completely at randomlittles_mcar_test
Ljung-Box Q test for autocorrelationLjungbox
LKJ density on correlation matricesLkjCorr
Hierarchical log-linear model for a three-way tablell3way
Goodness of fit of a loglinear model: Pearson chi-squared and G^2Llgsq
Linear model of coregionalization and cokrigingLmcCokriging LmcCovariance
Lagrange multiplier (Rao score) tests for spatial dependence after OLSlmdiag lmerr lmjoint lmkp lmlag lmrerr lmrerr2 lmrlag lmsarma lmsdm lmslx sphet
Linear mixed model in the form Y = X beta + Z u + e, with its two means and marginal varianceLmmform
Prediction and mean-response intervals for the linear regression modelLmpi
Lagrange multiplier tests for spatial dependence after OLSLMSpatialTests
Log-normal frailty Cox model (penalized partial likelihood + REML)Lnfrm
Local false discovery rate via empirical-Bayes two-component mixturelocal_fdr
Local linear kernel regressionlocal_linear
Local Geary's c per locationLocalgeary
Local Getis-Ord Gi and Gi* statisticsLocalGetisOrd
Local Moran's I (LISA)Localmoran
Local bivariate Moran statistic with conditional permutationLocalMoranBivariate
Regional specialization and concentration indicesHerfindahlIndex KrugmanIndex LocationQuotient LqGini
Log-likelihood of a PLSA modellog_likelihood
Multiparty competition under logit probabilistic votingLogitCompetition
Spatial voting models for one voterBoltzmannVote CauchyVote DiscountUtility LogitVote MedianVoter2d MixedLogitVote MixedUtility NormalVote ProbitVote ProximityVote QuadUtility UtilityMax VoteTrade2d VoteTrading WeightedVote
Log-likelihood of a morie mixed modellogLik.morie_lmm
Odds ratio over a fixed interval of an interval-scaled predictorLogor
Mantel log-rank test comparing two survival curvesLogrank
Kernel smoother for a binary outcomeLogRSM
Synchronised longitudinal-panel simulation (R parity)longitudinal_sim
Leave-one-out cross-validation bandwidth for NW regressionloocv_bandwidth
Replace the largest importance weights by fitted Pareto quantilesLoopr
Form the dual of a linear program and certify a pair of solutionsLpdual
lppd, effective parameters and WAIC from a matrix of log densitiesLppd
Likelihood-ratio (G) test for frequencieslrgtst
Residual analysis for the logistic regression modelLrresid
Likelihood ratio test from two maximised log-likelihoodsLrtest
Wald statistic and confidence interval for logistic-regression coefficientsLrwald
Least-squares lineLsqFit
Residual sum at the least-squares optimumLsqResid
Reverse least-squares lineLsqRev
Kaplan-Meier estimator under left truncationLtkm morie_survival_left_truncated_km
Louvain community detection with a resolution parameterlouvain LuvR
Count the distinct phrases a sequence needs to build itselfLzcomp
Cheminformatics filters on SMILES: MACCS keys, REOS alerts and synthetic accessibilityMaccsFingerprint MolecularProperties MorganEnvironments ReosFilter SaScore
Mean absolute error of a set of predictionsMaetst
Minor allele frequency of each SNP in a marker matrixmaf_calculation
mafft_anchors_frommafft_anchors_from
mafft_cleanmafft_clean
mafft_default_rawmafft_default_raw
mafft_degapmafft_degap
mafft_gap_profilesmafft_gap_profiles
mafft_jtt_exchangeabilitymafft_jtt_exchangeability
mafft_lookupmafft_lookup
mafft_nwmafft_nw
mafft_peaksmafft_peaks
mafft_site_scoremafft_site_score
mafft_weightsmafft_weights
mafft_xcorr_directmafft_xcorr_direct
mafft_xcorr_fftmafft_xcorr_fft
The coordinates of a funnel plot, and the funnel itselfMafnpr
Variance-stabilising double arcsine transform of a proportionMafrt
Get a proportion back out of the double-arcsine scaleMafrti
How many missing null studies would sink a significant resultMafsn
Put every study on the same vertical scale before comparing themMagal
Standardise by the control group's spread, not the pooled spreadMagsd
Mahalanobis depth of each row of xMahaldep
Spatial voting: majority rule, pivots, Pareto sets and win setsMajorityCompare ParetoSet PivotPoints WinSet
Majority tournament solutionsMajorityTournament
Mantel-Haenszel pooled odds ratio, given four parallel cell vectorsMamh
Ask whether the direct evidence on one comparison agrees with the restManh2h
Left-right scales from Manifesto Project category percentagesManifestoScales
Borrow strength across a whole network of pairwise comparisonsManlmm
Mann-Whitney U / Wilcoxon rank-sum testmann_whitney_u
Mann-Kendall trend testMannKendall
Manski no-assumption bounds on the ATEManski
Manski worst-case bounds for the ATEmanski_bounds
Manski worst-case bounds on a partially observed meanManskif
How many missing studies would drag the effect down to trivialMaorw
Community detection by the map equationInfomapPartition MapEquation
Pool 2x2 tables when the events are rare enough to break the othersMapeto
Mean average precision at kMapMet
Map projections, UTM zones, local tangent planes and geodesicsGeodeticToEnu GreatCircleDistance MapProject UtmZone VincentyInverse
The variance of a standardised effect when the two scores are pairedMarba
Explain between-study heterogeneity with study-level covariatesMareg
Marginal structural model by IPTW, and DBSCAN on point locationsmarginal_structural_model spatial_dbscan
Mark correlation functionMarkCorrelation
Random-labelling test of mark dependenceMarkDependenceTest
Mark variogramMarkVariogram
Empirical-Bayes disease rates and the Potthoff-Whittinghill testMarshallEb PotthoffWhittinghill
Cesaro-average Hellinger discrepancy of the predictive densitiesMartcons
Martingale residuals from a fitted Cox modelMartingale morie_survival_martingale
Estimate the odds ratio without ever estimating the matching setsMatccd
Value and optimal strategies of a zero-sum matrix gameMatgame
Elementary functions on dual numbersMath.morie_gr_dual
Elementary functions on reverse-mode tape nodesMath.morie_gvar
Adjust a pooled effect for suppressed small studiesMatrim
Species distribution and home range: MaxEnt features, fit and prediction; k-LoCoH isoplethsLocohHomeRange MaxentFeatures MaxentFit MaxentPredict
Maximal covering locationMaximalCovering
Max-p regionalizationMaxPRegions
Spatial Monte Carlo estimationMcControlVariate McConvergence McIntegrate McStratified McZonal
McNemar's test (paired nominal data)mcnemar_test
Wildlife ecology: home range, distance sampling, occupancy, abundance and connectivityCircuitResistance DistanceSampling GeneFlowNm HabitatSuitabilityIndex HanskiConnectivity LeastCostPath McpHomeRange NmixtureModel OccupancyModel PartialMantel ResistanceFromSuitability
Policy iteration for a finite MDPMdppol
Value iteration for a finite MDPMdpval
Jackknife and bootstrap stability of a SMACOF solutionMdsBootstrap MdsJackknife
Davison & Smith (1990) empirical mean excess over a threshold gridMeanExc
Confidence limits for a product, without pretending it is normalMedCI
Coalition games in the spatial modelMedianLines MinimalRangeCoalition QuotaSolution RoemerPune SpatialHeart WeightedGameCore
The part of the effect that needs mediation and interaction at onceMedint
Direct and indirect effects from weighted marginal modelsMedmsm
Mercer check: is a Gram matrix a valid kernel matrix?Mercerchk
RFC 6962 Merkle Tree Hashmerkle_root
S-, T-, X- and R-metalearners of the CATE with OLS base learnersMeta1l
METEOR machine-translation metric (exact-match stage)Meteor
Multivariate gamma random field from a shared componentmgamrf
Multiscale geographically weighted regression (MGWR)mgwraic mgwrbk mgwrbw mgwrcof mgwrcv mgwrdg mgwrfit mgwrhat mgwrres mgwrsig mgwrstd mgwrtst
Inference for (multiscale) geographically weighted regressionBandwidthConfidenceInterval MgwrLocalT
Mantel-Haenszel pooled odds ratio across 2x2 strataMhors
Mantel-Haenszel summary incidence rate ratioMhrate
Middle-out reconciliation of a hierarchical forecastMiddleout
Midrank vector with tie summary (Gibbons Ch 5.6.2)midranks
Moran's I tests: moments, z-score and the residual variantsmiexp miiv mimc miml minorm miols miorig mirand mivar mizval
miprgr_branch_and_boundmiprgr_branch_and_bound
miprgr_cheatsheetmiprgr_cheatsheet
miprgr_enumerate_integermiprgr_enumerate_integer
miprgr_fractional_variablemiprgr_fractional_variable
miprgr_round_relaxationmiprgr_round_relaxation
Two-phase simplex with Bland\'s rule, maximising c\'xmiprgr_simplex
miprgr_solve_relaxationmiprgr_solve_relaxation
Compensatory multidimensional item response probabilitiesMirt2
Three-dimensional compensatory MIRT, no guessing parameterMirt3
Pattern-mixture sensitivity analysis over a shift parameter deltaMissinM
Worst-case bias bound under local misspecificationMisspecbd
mistr_apply_ropemistr_apply_rope
mistr_attention_spanmistr_attention_span
mistr_cheatsheetmistr_cheatsheet
mistr_grouped_query_attentionmistr_grouped_query_attention
mistr_mistral_blockmistr_mistral_block
mistr_rms_normmistr_rms_norm
mistr_rope_anglesmistr_rope_angles
mistr_sliding_window_maskmistr_sliding_window_mask
mistr_swiglumistr_swiglu
Monotone instrumental variable boundsMivbound
Mann-Kendall rank test for monotone trendMktest
Maximum likelihood factor analysisMlFac
Gaussian ML log-likelihood of a linear mixed model at a given VMlfit
Maximum likelihood log-likelihood of the linear regression modelMlloglik
Pseudo-R^2 at level 1: residual variance removed by the predictorsMlpv
Standardise a level-1 variable inside each clusterMlwz
Penalized log-likelihood of the multinomial logistic modelMnpenlik
Compare multiple model fits on AIC, BIC, log-likelihood and (optional) LR testsmodel_comparison_table
Modularity Q of a community partition (alias of Sgtmodq)Modlar
Newman-Girvan modularity Q (alias of Sgtmodq)Modulq
Mixture-of-experts top-k routing with auxiliary load-balance lossMoetop
momento_cheatsheetmomento_cheatsheet
momento_harmonisemomento_harmonise
momento_mask_patchesmomento_mask_patches
momento_masked_lossmomento_masked_loss
momento_reconstruction_curvemomento_reconstruction_curve
momento_task_maskmomento_task_mask
Check that a moment sequence is realisable by a measure on [0, 1]Momprior
Monte Carlo spatial test by random relabellingmonte_carlo_spatial_test
Stepwise Moran eigenvector spatial filterMoranEigenvectorFilter
Eigenvector spatial filteringEigenvectorFiltering GetisFilter MoranEigenvectors
Spatial regression extras: Moran permutation test, spautolm, S2SLS lag and Durbin, KP-HET, J-test, Satorra-BentlerGmErrorHet MoranPermutationTest S2slsLag SatorraBentler SpatialJTest SpautolmFit
Moran scatterplot coordinates and influence measuresMoranScatter
Aalen-Johansen multistate transition matrixmorie_aalen_johansen
ABC rejection samplermorie_abcrej
Angle-based outlier detection (ABOD)morie_abod
MCMC acceptance-rate diagnosticmorie_acceptance_rate_diagnostic
Autocorrelation estimate with both divisorsmorie_acf_estimate
Adaptive conformal inference (ch. 17 p. 519)morie_aci
Actuarial (grouped) life tablemorie_actuarial_lifetable
AdaGrad optimiser stepmorie_adagrad
Adam optimiser stepmorie_adam
AdamW step with decoupled weight decaymorie_adamw_step
Augmented Dickey-Fuller testmorie_adf_test
Augmented Dickey-Fuller unit-root test (ch. 6 p. 149)morie_adfur
Adjacency matrix from an edge listmorie_adjacency_matrix
Covariate adjustment can cost precision under unequal allocationmorie_adjustment_variances
AES block cipher object (digest's AES, natively)morie_aes
Parametric accelerated failure time modelsmorie_aft
Log-normal accelerated-failure-time modelmorie_aft_generalized_gamma
Log-logistic accelerated-failure-time modelmorie_aft_log_logistic
Residuals from an AFT fitmorie_aft_residuals
Weibull accelerated-failure-time modelmorie_aft_weibull
Aggregate age-crime curve of a mixture of latent typesmorie_age_crime_aggregate
Cross-age covariance of a type mixture, and its test on panel countsmorie_age_crime_panel_cov morie_age_crime_type_cov
Aggregate ATT(g, t) cellsmorie_aggregateatt
Aitchison balance coordinatemorie_aitchison_balance
Robust effect size, median error and Winsorized regressionmorie_akp_effect_size morie_median_se morie_winsorized_regression
Scaled dot-product attention (Vaswani et al. 2017)morie_alammar_sdp_attention
Cost-constrained optimal allocation across stratamorie_alloc_optimal
Invert gamma = 1 / (alpha (1 - alpha)) for alphamorie_alpha_from_gamma
The alteration methodmorie_alteration_ramsey
Anamorphosis transformmorie_anamorphosis
Causal direction from an additive noise modelmorie_anm_direction
Alpha-NOMINATE ideal-point estimation via 'anominate'morie_anominate_ideal_points
One-way ANOVAmorie_anova_one_way
Two-way ANOVA with sequential (Type I) sums of squaresmorie_anova_twoway
Empirical delta at a fixed epsilonmorie_approx_dp
The (1 + a)^n approximation laddermorie_approx_ladder
Autoregressive power spectrummorie_ar_spectrum
ARCH(1)-in-mean modelmorie_arch_in_mean
Engle's ARCH-LM testmorie_arch_lm_test
Asymptotic relative efficiencies of the classical location testsmorie_are_nonparametric
Are two Latin squares orthogonal?morie_are_orthogonal
Analysis of the ARSAU aggregate-summary-by-year file (2020-2022)morie_arsau_analyze_aggregate_summary
Wide-format analysis of the 2020-2022 detailed-incident datasetmorie_arsau_analyze_detailed_dataset
End-to-end analysis of the ARSAU individual_records CSV for one yearmorie_arsau_analyze_individual_records
End-to-end analysis of the ARSAU main_records CSV for one yearmorie_arsau_analyze_main_records
Analysis of ARSAU probe_cycle_records (CEW telemetry)morie_arsau_analyze_probe_cycle_records
Analysis of ARSAU weapon_recordsmorie_arsau_analyze_weapon_records
List ARSAU dataset kinds, optionally restricted to one yearmorie_arsau_available_datasets
List ARSAU year / year-range bucketsmorie_arsau_available_years
Build the upstream CKAN 'datastore_search' URL for a registry entrymorie_arsau_ckan_url
Describe a single ARSAU dataset entrymorie_arsau_describe
Bulk-download ARSAU CSVs from the Ontario Data Cataloguemorie_arsau_download
Fetch the CKAN sidecar JSON for a registry entrymorie_arsau_fetch_sidecar
Load ARSAU aggregate-summary-by-year CSV (2020-2022 only)morie_arsau_load_aggregate_summary
Load ARSAU detailed-incident-level CSV (2020-2022 only)morie_arsau_load_detailed_dataset
Load ARSAU individual_records CSVmorie_arsau_load_individual_records
Load ARSAU main_records CSV for the given yearmorie_arsau_load_main_records
Load ARSAU probe_cycle_records CSV (CEW telemetry)morie_arsau_load_probe_cycle_records
Load ARSAU weapon_records CSVmorie_arsau_load_weapon_records
Read an Ontario-Catalogue Markdown data-dictionary sidecarmorie_arsau_read_markdown_dictionary
Read a CKAN datastore_search JSON sidecarmorie_arsau_read_sidecar
Read an Ontario-Catalogue XLSX data-dictionary sidecarmorie_arsau_read_xlsx_dictionary
ARSAU registry rendered as a tidy 'data.frame'morie_arsau_registry_df
Extract a simplified '[name, type, notes]' schema from a parsed CKAN sidecarmorie_arsau_sidecar_schema
Convert a CKAN sidecar's 'records' array-of-arrays into a 'data.frame'morie_arsau_sidecar_to_frame
Astle-Balding genomic relationship matrixmorie_astle_balding_grm
Average treatment effect from potential outcomesmorie_ate_potential_outcomes
l1 sensitivity of a TMLE of the ATEmorie_ate_sensitivity
ATT inverse-probability-of-treatment weightsmorie_att_weights
Measurement error attenuates only in the one-regressor casemorie_attenuation_two_regressor
The discrete attractiveness field contracts absent crimemorie_attractiveness_contraction
Audit both OTIS and ARSAUmorie_audit_all_variables
Audit every ARSAU variablemorie_audit_arsau_variables
Audit the categorical columns of a data frame for coding hazardsmorie_audit_categories
Audit every OTIS variablemorie_audit_otis_variables
Audit declared outputs against files on diskmorie_audit_public_outputs
Sample autocorrelation function (ch. 3)morie_autocorf
Sample autocorrelation function with Ljung-Boxmorie_autocorrelation
Linear-autoencoder reconstruction-error anomaly scoremorie_autoencoder_anomaly
Autoformer decomposition plus Auto-Correlation, eqs. (1), (5), (6)morie_autoform
Density-weighted average derivativemorie_average_derivative
Sample average derivative with an undersmoothed bandwidthmorie_average_derivative_hat
Azuma-Hoeffding for a martingale with bounded differencesmorie_azuma_bound
Back-door adjustment formulamorie_backdoor_adjustment
Back-door criterion for an adjustment setmorie_backdoor_criterion
Admissible back-door adjustment sets, smallest firstmorie_backdoor_sets
Backfitting for additive modelsmorie_backfitting
The disposed-cases mean as a bound: what the pending cases implymorie_backlog_censoring
Published court statistics read through Little's lawmorie_backlog_published
Balanced/spread-sample and two-phase variance estimatorsmorie_balanced_twophase
MISE-optimal bandwidthmorie_bandwidth_mise
Baron-Kenny stepwise mediationmorie_baron_kenny
Bartels rank test of randomness (native)morie_bartels_rank_test
Kernel-smoothed baseline hazardmorie_baseline_hazard
FAO-56 Penman-Monteith reference evapotranspirationmorie_basEvap
Basic and advanced privacy compositionmorie_basic_composition
Bayes' theorem over a complete hypothesis setmorie_bayes
Bayesian inference for a binomial probabilitymorie_bayes_binomial
Compare posterior means against an external (lm) referencemorie_bayes_compare
Continue an MCMC run from its final statemorie_bayes_continue
BayesC-pi spike-and-slab variable selection (short Gibbs)morie_bayes_cpi_genomic
Posterior density plot for one parameter (BS6.3)morie_bayes_density
All convergence diagnostics for a fit (details of each checker used)morie_bayes_diagnostics
Effective sample size (per parameter, autocorrelation-based)morie_bayes_ess
Savage-Dickey Bayes factor (Verdinelli & Wasserman 1995, bfsd)morie_bayes_factor_savage_dickey
Geweke convergence diagnostic (z-score comparing chain segments)morie_bayes_geweke
Fit a Bayesian linear regression by random-walk Metropolismorie_bayes_lm
Default MCMC plot (trace, density, or both)morie_bayes_plot
Gelman-Rubin R-hat for a set of MCMC chainsmorie_bayes_rhat
BayesA via short Gibbs sampler (Meuwissen-Hayes-Goddard 2001)morie_bayes_ridge_gibbs
Post-processing cannot lower the best squared-error riskmorie_bayes_risk_dpi
Horseshoe linear regression (Makalic & Schmidt 2016 Gibbs sampler)morie_bayesian_horseshoe
Bayesian LASSO (Park & Casella 2008 short Gibbs)morie_bayesian_lasso_full
Bayesian regression samplersmorie_bayesian_regression morie_brr_gibbs
Bayesian ridge regression (RR-BLUP closed form)morie_bayesian_ridge_regression
Importance resampling (SIR)morie_bayisr
Free-bias against fixed-bias coin (eq. 3.12, 3.20, 3.22, pp. 52-53)morie_bcoinbf
Bent-coin likelihood (eq. 3.8, p. 51)morie_bcoinlik
Uniform prior density on the bent-coin bias (eq. 3.9, p. 51)morie_bcoinpri
Manski no-assumptions identification bound for a meanmorie_bdtrns
Scalar BEKK(1,1) multivariate GARCHmorie_bekk_garch
Bell numbers by the Bell trianglemorie_bell_number
Value iteration with the Bellman contraction auditedmorie_bellman_value
Beta schedule values for T diffusion steps (hmdfw)morie_beta_schedule_values
Simplicial Betti numbers over F_2morie_betti_numbers_gf2
Necessary conditions for a balanced incomplete block designmorie_bibd_parameters
BIC model averagingmorie_bic_model_average
Gaussian BIC score of a DAGmorie_bicdag
Add two arbitrary-precision integersmorie_big_add
Exact binomial coefficientmorie_big_binom
Compare two arbitrary-precision integersmorie_big_cmp
Divide an arbitrary-precision integer by a small whole numbermorie_big_divmod_small
Exact factorialmorie_big_factorial
Is this value exactly representable as an R double?morie_big_fits_double
Multiply two arbitrary-precision integersmorie_big_mul
Number of decimal digitsmorie_big_ndigits
Raise an arbitrary-precision integer to a whole powermorie_big_pow
Subtract arbitrary-precision integersmorie_big_sub
Arbitrary-precision integer from a string or a doublemorie_bigint
Binary-outcome causal mediation by inverse odds-ratio weightingmorie_binary_mediation
Binomial distribution surfacemorie_binomial_dist
Binomial inference: PMF, MLE variance, Wilson interval, true confidencemorie_binomial_inference
Binary segmentation for changepointsmorie_binseg
Gaussian sum behind the central binomial approximation (eq. 1.41, p. 17)morie_binsumga
Maximum bipartite matching by augmenting pathsmorie_bipartite_matching
Bounded-Lipschitz distancemorie_bl_distance
BLAST maximal segment pair with Karlin-Altschul E-valuemorie_blastp
Blocking does not always increase power: the within-pair correlation crossovermorie_blocking_crossover
Blomqvist's beta from a copulamorie_blomqvist_beta
Imbens-Manski confidence interval for a partially identified parametermorie_bnd_imbens_manski
Sharp linear-programming bounds on a linear targetmorie_bnd_lp
Manski worst-case bounds on a partially observed meanmorie_bnd_manski
Moment-inequality criterion and confidence setmorie_bnd_moment_inequality
Polya-tree posterior mean densitymorie_bnd_polya_tree
Manski-Pepper MTR-MTS boundsmorie_bndapp
Manski worst-case boundsmorie_bndest
Barndorff-Nielsen & Shephard jump testmorie_bns_jump_test
Native nonparametric bootstrap (ordinary, stratified)morie_boot
Direct bridge to 'boot::boot.ci'morie_boot_basic_ci
Native bootstrap confidence intervalsmorie_boot_ci
Non-overlapping block bootstrapmorie_boot_nonoverlap_block
Direct bridge to 'boot::boot'morie_boot_run
Rao-Wu-Yue rescaled bootstrap for stratified cluster samplesmorie_bootss
Bootstrap resampling for any statisticmorie_bootstrap_sample
Borusyak-Jaravel-Spiess event-study imputation estimatormorie_boryis
Imbens-Manski confidence interval for a partially identified parametermorie_bounds_confidence
Whether a pair forms a bowmorie_bowarc
Box-Cox transformation (ch. 6 p. 164)morie_boxcox
Boxplot outlier rules on the ideal fourthsmorie_boxplot_outliers
Backtracking line searchmorie_boyd_backtracking
Newton step for unconstrained minimisationmorie_boyd_newton
Newton decrementmorie_boyd_newton_decrement
Proximal operatormorie_boyd_proximal
Bracken Bayesian abundance re-estimationmorie_bracken_abundance
Cox model with the Breslow tie correctionmorie_breslow_tie_correction
Regression diagnosticsmorie_breusch_pagan morie_durbin_watson morie_vif
Assemble the rest of the morie family from Rmorie_bricklayer
Brownian bridge covariancemorie_bridge_covariance
Bridge sampling estimate of a ratio of normalising constantsmorie_bridgs
Balanced repeated replication half-samplesmorie_brr_balanced
Balanced repeated replication variancemorie_brr_variance
Maximum-weight independent set by exhaustive searchmorie_brute_force_max_weight
B-spline basis by the Cox-de Boor recursionmorie_bspline_basis
.632 error estimator - alias entry pointmorie_bt_632
Bootstrap bias estimate and correctionmorie_bt_bias
Percentile bootstrap CI for a ratiomorie_bt_ci_ratio
Nonparametric IID bootstrap of a statisticmorie_bt_iid
Leave-one-out jackknifemorie_bt_jackknife
Out-of-bag error for a bootstrap-aggregated predictormorie_bt_oob
Bootstrap variance from replicatesmorie_bt_var
Buhlmann AR-sieve bootstrapmorie_btarsv
Loh exact bootstrap calibration of the t intervalmorie_btcalib
Beran prepivoted double-bootstrap confidence intervalmorie_btdbl
Beran prepivoted and twice-prepivoted bootstrap mean testmorie_btiseq
Stick versus carrot under a fixed budget: the interior optimummorie_budget_optimum
The budget-constrained optimal rule is a threshold on the conditional effectmorie_budget_rule
Build an outputs manifest from a directory of artifactsmorie_build_outputs_manifest
Get path to the built-in MORIE datasets databasemorie_builtin_db
Burg lattice AR estimationmorie_burg_method
Linear model f(x) = wx + b (Burkov Eq 1.1)morie_burkov_linear_function
MSE cost of the linear model (Burkov Eq 1.3)morie_burkov_mse_cost
Squared error (Burkov Eq 1.2)morie_burkov_squared_error
Burnside's lemmamorie_burnside_orbit_count
Squared-error decomposition into bias, variance and noise (p. 158)morie_bvdecomp
Clear morie's persistent cache directorymorie_cache_clear
morie cache contractmorie_cache_dir
Cache local RDS/CSV data into the SQLite databasemorie_cache_file
List all tables in the MORIE cachemorie_cache_list
Load a table from the MORIE cachemorie_cache_load
Store a data frame in the MORIE cachemorie_cache_store
Calculate estimated Blood Alcohol Concentration (eBAC)morie_calculate_ebac
Calculate inverse probability of treatment weights (IPTW)morie_calculate_ipw_weights
Calendar and time features (ch. 6 p. 168)morie_calfeat
Mixed-model calibration estimatorsmorie_calibration
Chi-square calibration to known marginsmorie_calibration_chi2
Calibration to the recorded label and to the true label cannot both hold across groupsmorie_calibration_flip
Calibration weights via iterative proportional fitting (raking)morie_calibration_weights
Canonicalize raw CPADS PUMF columnsmorie_canonicalize_cpads_data
Bundle a capsule into one signed filemorie_capsule_bundle
Recompute a manifest's recorded results against the datamorie_capsule_compare
Compare a fresh copy of a capsule's data with the pinned onemorie_capsule_drift
Build, and optionally write, a capsule's results manifestmorie_capsule_manifest
Sign a capsule digest or manifestmorie_capsule_sign
Verify a data capsulemorie_capsule_verify
Write the provenance record of a data capsulemorie_capsule_write
Catalan numbersmorie_catalan_number
Ordinal and multinomial modelsmorie_categorical_models morie_multinomial_loglik morie_multinomial_probs morie_ordinal_probit_gibbs morie_ordinal_probs morie_penalized_multinomial morie_penalized_poisson
CAT precision stopping rulemorie_catstop
Augmented inverse-probability-weighted (doubly robust) ATEmorie_caus_aipw
Sun-Abraham interaction-weighted event studymorie_caus_did_sun_abraham
Double machine learning for the partially linear modelmorie_caus_dml_partial_lin
Two-stage least squaresmorie_caus_iv_2sls
The instrumental-variable estimand under a causal graphmorie_caus_iv_dag
Local average treatment effectmorie_caus_iv_late
Limited-information maximum likelihoodmorie_caus_iv_liml
Caliper matching on the propensity scoremorie_causal_caliper_matching
Triple difference (DDD)morie_causal_did_three_way
Pre-treatment falsification (placebo) regressionmorie_causal_falsification_test
Honest causal forest for heterogeneous treatment effectsmorie_causal_forest
Bootstrap confidence intervals for the causal-forest CATEmorie_causal_forest_bootstrap
Predict CATEs at new covariate values from a fitted causal forestmorie_causal_forest_predict
Bayesian structural time-series intervention analysismorie_causal_impact
Propensity weights: ATO overlap, ATE, or ATTmorie_causal_iptw_atoweights
Mahalanobis-distance matchingmorie_causal_mahalanobis_match
Causal mediation by inverse probability weightingmorie_causal_mediation
Common-support and positivity diagnosticmorie_causal_overlap_diagnostic
Robust / heteroskedasticity-consistent variance for a fitted modelmorie_causal_robust_se
Rosenbaum sensitivity bound for matched pairsmorie_causal_rosenbaum_bound
Best linear predictor for the causal survival forest CATEmorie_causal_survival_blp
Causal survival forest on IPCW restricted-mean-survival pseudo outcomesmorie_causal_survival_forest
Estimate balancing weightsmorie_causal_weighting
Callaway-Sant'Anna staggered DiD (module-name entry point)morie_causdidcs
Event-study imputation estimator (module-name entry point)morie_causdidev
Cause-specific hazard modelmorie_cause_specific_hazard
Sharp regression discontinuity, local linearmorie_causrdd
Fuzzy regression discontinuity (Wald ratio)morie_causrddf
Imbens-Kalyanaraman optimal RDD bandwidthmorie_causrddh
One rung of the Ladder of Causation (Table 2.1, ch. 2 p. 15)morie_causrung
Gaussian approximation to the central binomial (eq. 1.40, p. 17)morie_cbcapx
CCC multivariate GARCH (Bollerslev 1990)morie_ccc_multivariate_garch
morie_cdaeRC_decodemorie_cdaeRC_decode
Zero-concentrated DP compositionmorie_cdp_subgaussian_amplification
Inverse-probability-of-censoring weightsmorie_censoring_at_risk_weight
Cepstral pitch estimatemorie_cepstrum_pitch
Validate a DQN replay buffer of (s, a, r, s2[, done]) rows (hmdqn)morie_check_buffer
Check whether a downstream package's SPDX is GPL-compatiblemorie_check_plugin_license
Conductance of a hot-spot set and the Cheeger bound on the spectral gapmorie_cheeger_bound
Chen's (2002) rank estimator of Tmorie_chen_transform
Chernoff bounds on a binomial tailmorie_chernoff_bound
Mean-change segmentation (PELT)morie_chgseg
Chi-square test of independence or goodness-of-fitmorie_chi_square_test
Maximum-score estimator for a choice-based samplemorie_choice_based_max_score
Variance-minimising shares for a choice-based samplemorie_choice_based_shares
Christoffersen conditional-coverage test for VaR exceedancesmorie_christoffersen_cc
Search any CKAN open-data portal for datasetsmorie_ckan_search
Classify one variablemorie_classify_variable
Run the rmorie command linemorie_cli
Emit a unified catalog CSV for the rmorie command linemorie_cli_dump_catalog
Rank-based comparisons of two groupsmorie_brunner_munzel morie_cliff_delta
k-means clustering with a full model-object contractmorie_cluster
Batch-cluster several data setsmorie_cluster_batch
Cluster-robust (CR0) treatment effectmorie_cluster_robust_effect
Two-stage cluster samplingmorie_cluster_sample
Cluster and two-stage sampling estimatorsmorie_cluster_twostage
Variance of a mean under cluster samplingmorie_cluster_variance
Mutual information via the Gaussian copulamorie_cmuti
CNN genomic predictor (Conv1D + GAP + dense, base R)morie_cnn_genomic
Cohen's d effect sizemorie_cohens_d
Magnitude-squared coherence between two time seriesmorie_coherence
General independence test via 'coin'morie_coin_independence
Permutation one-way ANOVA via 'coin'morie_coin_oneway
Permutation Wilcoxon test via 'coin'morie_coin_wilcoxon
Co-kriging front doormorie_cokriging
Collider structures (immoralities, v-structures), ch. 5 p. 82morie_collider
Collider bias from conditioning on arrest: the odds ratio among arresteesmorie_collider_arrest
Compare nested logistic-regression models via likelihood-ratio testmorie_compare_nested_logistic_models
Fine-Gray subdistribution hazard modelmorie_competing_risks_fg
Basic composition of privacy budgetsmorie_composition_budget
Compute inverse-probability design weightsmorie_compute_design_weights
Decompose crime concentration into crime-free places and the restmorie_concentration_decompose
Dispersion of place counts against the Poisson null and its mixturesmorie_concentration_dispersion
Growth of the number of distinct places under preferential allocationmorie_concentration_distinct_growth
Gini coefficient of a count vectormorie_concentration_gini
How much Gini concentration chance alone can showmorie_concentration_null_bound
Lin's concordance correlation coefficientmorie_concordance_corr
Kendall's coefficient of concordance W (Gibbons Ch 12.5)morie_concordance_incomplete
Harrell's concordance indexmorie_concordance_index morie_survival_concordance
Confusion matrix with precision / recall / F1 (R parity)morie_confusion_matrix_metrics
Branching-ratio arithmetic of a self-exciting (Hawkes) crime processmorie_contagion_branching
Extinction probability of a near-repeat chainmorie_contagion_extinction
Two count laws with the same mean and variance: what a K-function cannot tell apartmorie_contagion_moment_witness
Contaminated-sample bounds for a recorded proportionmorie_contaminated_bounds
Pearson contingency coefficient C (Gibbons Ch 14.2.1)morie_contingency_coefficient
i.i.d. posterior contraction theoremmorie_contraction_conditions
Nonparametric many-to-one comparisons to a control (Gibbons Ch 10.7)morie_control_comparison
Mood's median (control-median) test (Gibbons Ch 6.5)morie_control_median_test
Convex hull of planar pointsmorie_convex_hull
Output of a convolutional layer, Equation 12-1 (p. 423)morie_convlayer
Convolutional feature mapsmorie_conv2d morie_convolution
COPOD: copula-based outlier detectionmorie_copod
Bivariate copula CDFmorie_copula_cdf
Fit a copula by maximum-likelihood via 'copula'morie_copula_fit
Draw a random sample from a copula via 'copula'morie_copula_sample
Spearman's rho implied by a copulamorie_copula_spearman
Survival copula for paired event timesmorie_copula_survival
Kendall's tau implied by a copula parametermorie_copula_tau
morie_cor_pearson_cppmorie_cor_pearson_cpp
Canonical CKAN resource id table for the Corrections UoF datasetmorie_corrections_uof_resource_ids
Number of edges in a simple undirected graphmorie_count_edges
Count-model (Poisson family) utilitiesmorie_count_glm
Court backlog arithmetic: Little's law on a docketmorie_court_backlog
Standardised mean difference for covariate balancemorie_covariate_balance
Covariate balance after weighting or matchingmorie_covariate_balance_check
Breslow estimator of the baseline cumulative hazardmorie_cox_breslow_step
Cox DFBETA influence diagnosticsmorie_cox_dfbeta_influence
Cox model with a shared gamma frailtymorie_cox_frailty
Cox martingale residualsmorie_cox_martingale_residuals
Any intensity heterogeneity forces overdispersionmorie_cox_overdispersion
Cox proportional-hazards modelmorie_cox_partial_loglik morie_cox_ph morie_survival_cox
Schoenfeld residuals and the proportional-hazards testmorie_cox_schoenfeld_residuals
Cox partial-likelihood score processmorie_cox_score_process
Stratified Cox modelmorie_cox_stratified
Cox model with time-varying COEFFICIENTSmorie_cox_time_varying
Canonicalize raw CPADS PUMF columns into morie's analysis schemamorie_cpads_canonicalize_frame
Return the CPADS analysis-frame contractmorie_cpads_contract
Detect whether a data frame looks like raw CPADS PUMF datamorie_cpads_has_raw_columns
Infer the on-disk file format for a CPADS file pathmorie_cpads_infer_file_format
Identify missing canonical CPADS variables in a column setmorie_cpads_missing_variables
Validate a data frame against the canonical CPADS analysis contractmorie_cpads_validate_frame
Run the full Chicago Police Department analysis suitemorie_cpd_all_analyses
Conformalized quantile regression (ch. 17 pp. 514-515)morie_cqr
Cramer's V for categorical associationmorie_cramers_v
Cressie-Hawkins robust semivariogram estimatormorie_cressie_hawkins
Temporal ETAS model (Epidemic-Type Aftershock Sequence)morie_crim_etas
Multivariate Hawkes process (exponential kernels)morie_crim_hawkes_multivariate
Knox near-repeat test (space-time interaction)morie_crim_near_repeat
Risk terrain modelmorie_crim_risk_terrain
Prove a recode with a before/after cross-tabulationmorie_crosstab_verify
Croston's method for intermittent demandmorie_croston
ChaCha20-Poly1305 IETF authenticated decryptionmorie_crypto_chacha20_poly1305_decrypt
ChaCha20-Poly1305 IETF authenticated encryptionmorie_crypto_chacha20_poly1305_encrypt
HKDF-SHA256 (RFC 5869) key derivationmorie_crypto_hkdf_sha256
HQC-128 decapsulationmorie_crypto_hqc_decaps
HQC-128 encapsulationmorie_crypto_hqc_encaps
HQC-128 keypair (code-based KEM)morie_crypto_hqc_keygen
Which hybrid container a ciphertext ismorie_crypto_hybrid_container_version
Hybrid decrypt: ML-KEM-768 + ChaCha20-Poly1305morie_crypto_hybrid_decrypt
Hybrid encrypt: ML-KEM-768 + ChaCha20-Poly1305morie_crypto_hybrid_encrypt
Generate an ML-KEM-768 key pair for hybrid encryptionmorie_crypto_hybrid_keygen
Create a new empty morie keystoremorie_crypto_keystore_create
List key names in the morie keystoremorie_crypto_keystore_list
Load a key pair from the morie keystoremorie_crypto_keystore_load
Public key of a key pair in the morie keystoremorie_crypto_keystore_public_key
Store a key pair in the morie keystoremorie_crypto_keystore_store
Lamport one-time signature keypair (native, SHA-256)morie_crypto_lamport_keygen
Sign one message with a Lamport keypair (native)morie_crypto_lamport_sign
Verify a Lamport one-time signature (native)morie_crypto_lamport_verify
Is liboqs available in this morie build?morie_crypto_liboqs_available
liboqs runtime version stringmorie_crypto_liboqs_version
ML-DSA-65 keypair generation (NIST FIPS 204)morie_crypto_mldsa65_keygen
ML-DSA-65 signaturemorie_crypto_mldsa65_sign
ML-DSA-65 signature verificationmorie_crypto_mldsa65_verify
ML-KEM-768 decapsulationmorie_crypto_mlkem768_decaps
ML-KEM-768 encapsulationmorie_crypto_mlkem768_encaps
ML-KEM-768 keypair generation (NIST FIPS 203)morie_crypto_mlkem768_keygen
Inventory of the post-quantum families available in this buildmorie_crypto_pqc_inventory
Cryptographically secure random bytesmorie_crypto_random_bytes
SLH-DSA-SHA2-128s keypair (hash-based signatures, FIPS 205)morie_crypto_slhdsa_keygen
SLH-DSA-SHA2-128s signaturemorie_crypto_slhdsa_sign
SLH-DSA-SHA2-128s verificationmorie_crypto_slhdsa_verify
Is libsodium available in this morie build?morie_crypto_sodium_available
libsodium runtime version stringmorie_crypto_sodium_version
Test a point pattern against complete spatial randomnessmorie_csr_nn_test
Callaway-Sant'Anna staggered difference-in-differencesmorie_cssant
Necklaces: colourings up to rotationmorie_cycle_index_necklaces
Build a causal DAGmorie_dag
Estimate the identified effect from datamorie_dag_estimate
Identify the causal effect in a DAG (backdoor criterion)morie_dag_identify
Refute an estimated causal effectmorie_dag_refute
Sharp bounds on a true victimisation rate and its dark figuremorie_dark_figure_bounds
Breakdown analysis for a dark-figure conclusionmorie_dark_figure_breakdown
The dark figure from a survey that covers only some offencesmorie_dark_figure_comparable
Incident versus offence counting: the hierarchy-rule arithmeticmorie_dark_figure_hierarchy
The never-listed cell of a three-list capture under no three-way interactionmorie_dark_figure_no_interaction
Three-list capture-recapture: what is and is not identifiedmorie_dark_figure_three_list
Two-source (capture-recapture) count with a dependence boxmorie_dark_figure_two_source
Population and sample variance of a data vectormorie_data_variance
List all datasets in the MORIE catalogmorie_dataset_catalog
Build a single-column profile recordmorie_dataset_column_profile
Detect the suggested epidemiological role of a columnmorie_dataset_detect_role
Infer the Stevens NOIR measurement level for a single vectormorie_dataset_infer_level
Get metadata for a single datasetmorie_dataset_info
Load a dataset from a CSV / TSV / Excel / Parquet / JSON filemorie_dataset_load
Build the cross-portal dataset catalogmorie_dataset_portal_catalog
Clear the session-scoped portal-catalog cachemorie_dataset_portal_catalog_clear_cache
Fully profile a data frame without prior schema knowledgemorie_dataset_profile
Render a human-readable dataset profile summary tablemorie_dataset_profile_summary_table
Serialize a dataset profile to a plain nested listmorie_dataset_profile_to_list
Suggest an ordered analysis plan based on a dataset profilemorie_dataset_suggest_plan
Compute level-appropriate summary statistics for one columnmorie_dataset_summarize_column
Generic by-id loader for any ArcGIS Online Feature Service itemmorie_datasets_arcgis_item_by_id
Resolve any ArcGIS Online item id to its FeatureServer URL + canonical metadatamorie_datasets_arcgis_item_metadata
Ontario Use-of-Force aggregate summary (5-year 2020-2022, pre-RBDS rollup)morie_datasets_arsau_aggregate_summary
Ontario Use-of-Force detailed dataset (5-year 2020-2022, pre-RBDS)morie_datasets_arsau_detailed_dataset
Ontario Use-of-Force individual records (one row per individual-in-incident)morie_datasets_arsau_uof_individual_records
Ontario Use-of-Force main records (one row per incident)morie_datasets_arsau_uof_main_records
Ontario Use-of-Force probe-cycle records (one row per CEW cartridge probe per individual-in-incident)morie_datasets_arsau_uof_probe_cycle_records
Ontario Use-of-Force weapon records (one row per weapon per individual-in-incident)morie_datasets_arsau_uof_weapon_records
Pull a BigQuery table (or filtered slice) as a 'data.frame'morie_datasets_bigquery
Browse + filter the morie cross-portal dataset catalogmorie_datasets_browse
Calgary Community Crime Statistics (sample)morie_datasets_calgary_community_crime_stats morie_datasets_calgary_fire_response_calls morie_datasets_calgary_fire_stations
Calgary Open Data crime-adjacent catalogmorie_datasets_calgary_open_crime_adjacent_layers morie_datasets_edmonton_open_crime_adjacent_layers morie_datasets_ottawa_open_crime_adjacent_layers
Fetch a Calgary Open Data Socrata dataset by IDmorie_datasets_calgary_socrata_by_id morie_datasets_edmonton_socrata_by_id
City of Chicago Open Data - Arrests feed ('dpt3-jri9')morie_datasets_chicago_arrests
Chicago Community Area boundaries (cauq-8yn6)morie_datasets_chicago_community_areas
City of Chicago "Crimes - 2001 to Present" feed ('ijzp-q8t2')morie_datasets_chicago_crime
City of Chicago "Crimes - 2001 to Present - Map" view ('ahwe-kpsy')morie_datasets_chicago_crime_map
City of Chicago Crimes feed via OData v4 ('ijzp-q8t2')morie_datasets_chicago_crime_odata
One-call Chicago crime + boundary + dictionary joinmorie_datasets_chicago_crime_resolved
City of Chicago Crimes feed - arbitrary-SoQL escape hatchmorie_datasets_chicago_crime_soql
Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) code dictionary (c7ck-438e)morie_datasets_chicago_iucr_codes
Chicago Neighborhoods boundary (Office of Tourism)morie_datasets_chicago_neighborhoods
Chicago Police Beats (current) boundaries ('n9it-hstw')morie_datasets_chicago_police_beats
Chicago Police Districts (current) boundaries (24zt-jpfn)morie_datasets_chicago_police_districts
Chicago City Council Ward boundaries (sp34-6z76)morie_datasets_chicago_wards
Catalogue of CIHI open data-table workbooksmorie_datasets_cihi_data_tables
Pull every CSV resource of a CKAN package as a list of data framesmorie_datasets_ckan_package
Search a CKAN open-data portal by free-text querymorie_datasets_ckan_search
Inmate-participant ethnic originmorie_datasets_corrections_uof_ethnic_origin
Incident-type lookupmorie_datasets_corrections_uof_incident_type
Use-of-force incidents (head dataset)morie_datasets_corrections_uof_incidents
Inmate-participant Indigenous identitymorie_datasets_corrections_uof_indigenous
Inmate-to-incidents bridging tablemorie_datasets_corrections_uof_inmate_incident
Inmate-participant demographics (head)morie_datasets_corrections_uof_inmate_participant
Institution-level annual incident summarymorie_datasets_corrections_uof_institution_summary
Location-of-incident annual summarymorie_datasets_corrections_uof_location_summary
Inmate-participant racemorie_datasets_corrections_uof_race
Inmate-participant religionmorie_datasets_corrections_uof_religion
Select-incident-type annual summarymorie_datasets_corrections_uof_select_incident_summary
Staff-to-incidents bridging tablemorie_datasets_corrections_uof_staff_incident
Load the Canadian Postsecondary Alcohol and Drug-use Survey (CPADS)morie_datasets_cpads
Chicago Police Department - Public Arrest Data (2014-2017)morie_datasets_cpd_public_arrests
Edmonton Police Station locationsmorie_datasets_edmonton_fire_stations morie_datasets_edmonton_police_stations
List the external Socrata datasets wrapped by moriemorie_datasets_external_socrata_layers
Load a dataset by its cross-portal catalog 'dataset_key'morie_datasets_load_by_key
Fetch records from any donnees.montreal.ca CKAN datastore resourcemorie_datasets_montreal_ckan_resource
Donnees Montreal "Loi, justice et securite publique" catalogmorie_datasets_montreal_justice_safety_layers
SIM intervention TYPE -> French description dictionarymorie_datasets_montreal_sim_intervention_types
SIM Montreal Fire Service intervention records (sample)morie_datasets_montreal_sim_interventions
NamUs missing-persons case metadatamorie_datasets_namus_missing_persons
FBI NIBRS offence-event records via the Crime Data Explorer APImorie_datasets_nibrs
NIST Reference Datasets (RDS) catalog metadatamorie_datasets_nist_rds
NYC Borough Boundaries ('gthc-hcne')morie_datasets_nyc_boroughs
Unified catalog of NYC OpenData boundary loadersmorie_datasets_nyc_boundaries_catalog
NYC community district boundariesmorie_datasets_nyc_community_districts
NYC City Council district boundariesmorie_datasets_nyc_council_districts
NYC Neighborhood Tabulation Areas (2020)morie_datasets_nyc_ntas_2020
NYPD Arrests Data (Historic)morie_datasets_nyc_nypd_arrests_historic
NYPD Arrest Data (Year to Date)morie_datasets_nyc_nypd_arrests_ytd
NYPD borough-code cross-reference (1-letter / UPPER / numeric)morie_datasets_nyc_nypd_boro_crosswalk
Generic NYC NYPD dataset loader by registry keymorie_datasets_nyc_nypd_by_key
NYPD Complaint Data Historicmorie_datasets_nyc_nypd_complaint_historic
NYPD Complaint Data Current (Year To Date)morie_datasets_nyc_nypd_complaint_ytd
NYPD Hate Crimesmorie_datasets_nyc_nypd_hate_crimes
NYS / NYC statute book code dictionarymorie_datasets_nyc_nypd_law_books
List the NYPD criminal-justice Socrata datasets wrapped by moriemorie_datasets_nyc_nypd_layers
NYPD offense-code dictionary ('ky_cd' + 'pd_cd' + descriptions)morie_datasets_nyc_nypd_offense_codes
One-call NYPD data + borough + precinct joinmorie_datasets_nyc_nypd_resolved
NYPD Use of Force Incidentsmorie_datasets_nyc_nypd_uof_incidents
NYPD Use of Force: Subjectsmorie_datasets_nyc_nypd_uof_subjects
NYPD Vehicle Stop Reportsmorie_datasets_nyc_nypd_vehicle_stops
NYC OpenData bulk catalog (2851 entities)morie_datasets_calgary_opendata_bulk_layers morie_datasets_chicago_opendata_bulk_layers morie_datasets_edmonton_opendata_bulk_layers morie_datasets_montreal_opendata_bulk_layers morie_datasets_nyc_opendata_bulk_layers morie_datasets_ottawa_opendata_bulk_layers morie_datasets_toronto_opendata_bulk_layers morie_datasets_vancouver_opendata_bulk_layers
NYC Police Precincts boundary layer ('y76i-bdw7')morie_datasets_nyc_police_precincts
NYC public school district boundaries (NYS K-12)morie_datasets_nyc_school_districts
Fetch a NYC OpenData Socrata dataset by IDmorie_datasets_chicago_socrata_by_id morie_datasets_nyc_socrata_by_id
NYPD Stop, Question and Frisk (SQF) microdata via NYC OpenDatamorie_datasets_nyc_stop_and_frisk
NYC ZIP Code Tabulation Areas (ZCTAs)morie_datasets_nyc_zctas
Generic Ontario CKAN dataset loader (by registry key)morie_datasets_ontario_ckan_by_key
List the Ontario CKAN datasets wrapped by moriemorie_datasets_ontario_ckan_layers
Load the OTIS A01 Restrictive-Confinement Detailed Datasetmorie_datasets_otis_a01
OTIS a01 - Restrictive Confinement (detailed per-individual)morie_datasets_otis_a01_restrictive_confinement
OTIS b01 - Segregation detailed (per-individual episodes)morie_datasets_otis_b01_segregation_detailed
OTIS b02 - Segregation total days per individualmorie_datasets_otis_b02_segregation_total_days
OTIS b03 - Segregation placements: alerts + hold by institutionmorie_datasets_otis_b03_seg_alerts_by_institution
OTIS b04 - Segregation consecutive durations by regionmorie_datasets_otis_b04_seg_consecutive_by_region
OTIS b05 - Segregation placements by consecutive-length bucketmorie_datasets_otis_b05_seg_consecutive_lengths
OTIS b06 - Segregation placements: reason for placement by institutionmorie_datasets_otis_b06_seg_reason_by_institution
OTIS b07 - Segregation placements: alerts + hold by gendermorie_datasets_otis_b07_seg_alerts_by_gender
OTIS b08 - Segregation consecutive durations by institutionmorie_datasets_otis_b08_seg_consecutive_by_institution
OTIS b09 - Individuals in segregation by number of times placedmorie_datasets_otis_b09_seg_n_times
OTIS c01 - Total individuals (in custody / restrictive confinement / segregation)morie_datasets_otis_c01_individuals_total
OTIS c02 - Individuals by institutionmorie_datasets_otis_c02_individuals_by_institution
OTIS c03 - Individuals by race x gendermorie_datasets_otis_c03_individuals_race_by_gender
OTIS c04 - Individuals by race x regionmorie_datasets_otis_c04_individuals_race_by_region
OTIS c05 - Individuals by religion x regionmorie_datasets_otis_c05_individuals_religion_by_region
OTIS c06 - Individuals by age category x regionmorie_datasets_otis_c06_individuals_age_by_region
OTIS c07 - Individuals: alerts + hold flagsmorie_datasets_otis_c07_individuals_alerts
OTIS c08 - Individuals by religion x gendermorie_datasets_otis_c08_individuals_religion_by_gender
OTIS c09 - Individuals by age category x gendermorie_datasets_otis_c09_individuals_age_by_gender
OTIS c10 - Aggregate durations by institutionmorie_datasets_otis_c10_aggregate_durations_by_institution
OTIS c11 - Aggregate lengthsmorie_datasets_otis_c11_aggregate_lengths
OTIS c12 - Aggregate durations by regionmorie_datasets_otis_c12_aggregate_durations_by_region
OTIS Deaths-in-Custody detailed dataset (d01)morie_datasets_otis_d01_deaths_in_custody
OTIS d02 - Deaths in custody by gendermorie_datasets_otis_d02_deaths_by_gender
OTIS d03 - Deaths in custody by racemorie_datasets_otis_d03_deaths_by_race
OTIS d04 - Deaths in custody by religionmorie_datasets_otis_d04_deaths_by_religion
OTIS d05 - Deaths in custody by age categorymorie_datasets_otis_d05_deaths_by_age_category
OTIS d06 - Deaths in custody by alert type x institutionmorie_datasets_otis_d06_cause_by_alert
OTIS d07 - Deaths in custody alerts x housing unitmorie_datasets_otis_d07_alerts_by_housing_unit
SIU director's-reports index (legacy PDF anchors)morie_datasets_siu_director_reports
Extract structured fields from an SIU director's-report text or URLmorie_datasets_siu_report_fields
Download an SIU director's-report PDF and return its plain textmorie_datasets_siu_report_text
Statistics Canada CCJS cube registry (curated subset)morie_datasets_statcan_ccjs_cubes
Fetch a StatCan cube's metadata (dimensions + members) via WDSmorie_datasets_statcan_cube_metadata
Get the bulk-CSV download URL for a StatCan cubemorie_datasets_statcan_full_csv_url
Fetch the latest N periods for a set of StatCan vectors via WDSmorie_datasets_statcan_vectors
Tally the cross-portal catalog by source + api_modemorie_datasets_summary
Toronto Ambulance station locationsmorie_datasets_toronto_ambulance_stations
TPS Annual Statistical Report - Miscellaneous data (aggregated)morie_datasets_toronto_asr_miscellaneous
Fetch records from any open.toronto.ca CKAN resourcemorie_datasets_toronto_open_ckan_resource
Toronto Open Data crime-adjacent CKAN catalogmorie_datasets_toronto_open_crime_adjacent_layers
Toronto Zoning per Neighbourhood (EsriCanadaEducation)morie_datasets_toronto_zoning_per_neighbourhood
2008 FIRSmorie_datasets_tps_2008_firs
2009 FIRSmorie_datasets_tps_2009_firs
2010 FIRSmorie_datasets_tps_2010_firs
2011 FIRSmorie_datasets_tps_2011_firs
2012 FIRSmorie_datasets_tps_2012_firs
2013 FIRSmorie_datasets_tps_2013_firs
Administrative (ASR-AD-TBL-001)morie_datasets_tps_administrative
Generic TPS ArcGIS Hub dataset loader by hub_idmorie_datasets_tps_arcgis_hub_by_id
Direct multi-format downloader (binary or text) for a TPS Hub itemmorie_datasets_tps_arcgis_hub_download
List the Toronto Police Service ArcGIS Hub datasets wrapped by moriemorie_datasets_tps_arcgis_hub_layers
Arrested and Charged Persons (ASR-ENF-TBL-001)morie_datasets_tps_arrested_and_charged_persons
Arrests and Strip Searches (RBDC-ARR-TBL-001)morie_datasets_tps_arrests_and_strip_searches
TPS PSDP - Assaultmorie_datasets_tps_assault
Automobile KSImorie_datasets_tps_automobile_ksi
TPS PSDP - Auto Theftmorie_datasets_tps_autotheft
Bicycle Thefts Open Datamorie_datasets_tps_bicycle_thefts
TPS PSDP - Bicycle Theftmorie_datasets_tps_bicycletheft
TPS PSDP - Break and Entermorie_datasets_tps_breakandenter
Budget_2020morie_datasets_tps_budget_2020
Budget_2021morie_datasets_tps_budget_2021
Budget_2022morie_datasets_tps_budget_2022
Budget_2023morie_datasets_tps_budget_2023
Budget_2024morie_datasets_tps_budget_2024
Budget_2025morie_datasets_tps_budget_2025
Budget_2026morie_datasets_tps_budget_2026
Budget_by_Commandmorie_datasets_tps_budget_by_command
Calls for Service Attended (ASR-CS-TBL-003)morie_datasets_tps_calls_for_service_attended
Community Safety Indicators Open Datamorie_datasets_tps_community_safety_indicators
Complaint Dispositions (ASR-PCF-TBL-003)morie_datasets_tps_complaint_dispositions
Cyclist KSImorie_datasets_tps_cyclist_ksi
Dispatched Calls by Division (ASR-CS-TBL-001)morie_datasets_tps_dispatched_calls_by_division
Facilitiesmorie_datasets_tps_facilities
Fatals KSImorie_datasets_tps_fatals_ksi
Firearms Top Calibres (ASR-F-TBL-001)morie_datasets_tps_firearms_top_calibres
Gross Expenditures by Division (ASR-PB-TBL-001)morie_datasets_tps_gross_expenditures_by_division
Gross Operating Budget (ASR-PB-TBL-005)morie_datasets_tps_gross_operating_budget
TPS PSDP - Hate Crimesmorie_datasets_tps_hatecrimes
TPS Homicides feedmorie_datasets_tps_homicide
TPS PSDP - Homicidesmorie_datasets_tps_homicides
TPS PSDP - Intimate Partner and Family Violencemorie_datasets_tps_intimate_partner_family_violence
Investigated Alleged Misconduct (ASR-PCF-TBL-002)morie_datasets_tps_investigated_alleged_misconduct
Killed and Seriously Injuredmorie_datasets_tps_killed_and_seriously_injured
List the TPS open-data layers included with moriemorie_datasets_tps_layers
TPS Major Crime Indicators feedmorie_datasets_tps_major_crime
TPS Mental Health Act Apprehensions (PSDP)morie_datasets_tps_mha_apprehensions
Miscellaneous Calls for Service (ASR-CS-TBL-002)morie_datasets_tps_miscellaneous_calls_for_service
Miscellaneous Data (ASR-MISC-TBL-001)morie_datasets_tps_miscellaneous_data
Miscellaneous Firearms (ASR-F-TBL-003)morie_datasets_tps_miscellaneous_firearms
Motorcylist KSImorie_datasets_tps_motorcylist_ksi
Neighbourhood Crime Rates Open Datamorie_datasets_tps_neighbourhood_crime_rates
Passenger KSImorie_datasets_tps_passenger_ksi
Patrol Zonemorie_datasets_tps_patrol_zone
Pedestrian KSImorie_datasets_tps_pedestrian_ksi
Personnel by Command (ASR-PB-TBL-004)morie_datasets_tps_personnel_by_command
Personnel by Rank (ASR-PB-TBL-002)morie_datasets_tps_personnel_by_rank
Personnel by Rank by Division (ASR-PB-TBL-003)morie_datasets_tps_personnel_by_rank_by_division
Persons in Crisis Calls for Service Attended Open Datamorie_datasets_tps_persons_in_crisis_calls_for_service_attended
Toronto Police Service police division boundariesmorie_datasets_tps_police_divisions
One-call TPS PSDP data + boundary metadata joinmorie_datasets_tps_psdp_resolved
Regulated Interactions (ASR-RI-TBL-001)morie_datasets_tps_regulated_interactions
Reported Crimes (ASR-RC-TBL-001)morie_datasets_tps_reported_crimes
TPS PSDP - Robberymorie_datasets_tps_robbery
Search of Persons (ASR-SP-TBL-001)morie_datasets_tps_search_of_persons
TPS PSDP - Shooting and Firearm Dischargesmorie_datasets_tps_shooting_firearm_discharges
TPS Shootings and Firearm Discharges feedmorie_datasets_tps_shootings
Staffing_by_Commandmorie_datasets_tps_staffing_by_command
TPS PSDP - Theft From Motor Vehiclemorie_datasets_tps_theft_from_motor_vehicle
TPS PSDP - Theft Overmorie_datasets_tps_theft_over
Tickets Issued (ASR-ENF-TBL-002)morie_datasets_tps_tickets_issued
Top 20 Offences of Firearm Seizures (ASR-F-TBL-002)morie_datasets_tps_top_20_offences_of_firearm_seizures
Total Public Complaints (ASR-PCF-TBL-001)morie_datasets_tps_total_public_complaints
Traffic Collisions Open Data (ASR-T-TBL-001)morie_datasets_tps_traffic_collisions
Use of Force: Call for Service Types (RBDC-UOF-TBL-004)morie_datasets_tps_use_of_force_call_for_service_types
Use of Force: Call Sources by Month (RBDC-UOF-TBL-001)morie_datasets_tps_use_of_force_call_sources_by_month
Use of Force: Gender Composition (RBDC-UOF-TBL-006)morie_datasets_tps_use_of_force_gender_composition
Use of Force: Location of Occurrences (RBDC-UOF-TBL-003)morie_datasets_tps_use_of_force_location_of_occurrences
Use of Force: Occurrence Category (RBDC-UOF-TBL-005)morie_datasets_tps_use_of_force_occurrence_category
Use of Force: Time of Day Trends (RBDC-UOF-TBL-002)morie_datasets_tps_use_of_force_time_of_day_trends
Use of Force: Use of Force Types and Perceived Weapons (RBDC-UOF-TBL-007)morie_datasets_tps_use_of_force_use_of_force_types_and_perceived_weapons
Victims of Crime (ASR-VC-TBL-001)morie_datasets_tps_victims_of_crime
Fetch records from a Vancouver Open Data dataset by IDmorie_datasets_vancouver_opendata_by_id
Vancouver Open Data full dataset catalog (Opendatasoft v2.1)morie_datasets_vancouver_opendata_layers
Local cache directory for the Victorian workbooksmorie_datasets_vic_cache_dir
Catalog of the Victorian Crime Statistics Agency data tablesmorie_datasets_vic_catalog
Sheet names in a cached Victorian workbookmorie_datasets_vic_sheets
Read one Victorian crime data tablemorie_datasets_vic_table
Load Vancouver Police Department crime incident datamorie_datasets_vpd_crime
Read VPD's legal disclaimer (included verbatim from the zip)morie_datasets_vpd_legal_disclaimer
List the databases served by a Datasette instancemorie_datasette_databases
Read rows from a Datasette table (or run read-only SQL)morie_datasette_read
Connect to the MORIE cache databasemorie_db_connect
Create the recommended B-tree indexes for a morie cache tablemorie_db_create_indexes
DCC(1,1) GARCH front-endmorie_dcc_garch
DCC multivariate GARCH (Engle 2002)morie_dcc_multivariate_garch
Tabular Double Q-learningmorie_ddqn
Decision tree split (R parity)morie_decision_tree_split
Decode a labelled import by its value labels, by codemorie_decode_labelled
Asymptotic normality of the deconvolution estimatormorie_deconv_normality
Convergence rates for deconvolutionmorie_deconv_rate
Deconvolution kernel density estimatemorie_deconvolution
Single-hidden-layer MLP genomic predictor (base R)morie_deep_learning_genomic
Default synthetic-data variable name mapmorie_default_synthetic_name_map
Default workflow step mapmorie_default_workflow_map
Design effect from clusteringmorie_deff_cluster
Density of an undirected simple graph (Wasserman & Faust Ch 4, densty)morie_density
Dependent-censoring diagnosticmorie_dependent_censoring_hazard
The rounding identity for derangementsmorie_derangement_rounding
Derangements: permutations with no fixed pointmorie_derangements
Atkinson inequality index via 'DescTools'morie_desc_atkinson
Cramer's V via 'DescTools'morie_desc_cramers_v
Gini coefficient via 'DescTools'morie_desc_gini
Cohen / Fleiss kappa via 'DescTools'morie_desc_kappa
Winsorize a numeric vector via 'DescTools'morie_desc_winsorize
Print the pedagogical narrative for a morie callablemorie_describe
String-only variant of 'morie_describe'morie_describe_by_name
Design effect (DEFF)morie_design_effect
The design effect of clustering is direction-specificmorie_design_effect_direction
Design sensitivity: the Gamma at which a sensitivity analysis's limiting power turnsmorie_design_sensitivity
SHA-keyed deterministic RNG for Py<->R paritymorie_det_rng
SHA-256 hex digest of "name:seed" (for Py<->R cross-check)morie_det_rng_sha_hex
Detection-rate arithmetic of downgrade-and-cautionmorie_detection_rate_shift
Which deterrence partial effects a design can identifymorie_deterrence_design_check
The expected-cost deterrence response on the log scale, and the discount it impliesmorie_deterrence_logcost
Direction of deterrence without convexity: optimal offending under certainty and severitymorie_deterrence_response
Cox deviance residualsmorie_deviance_residual_cox
Fit a Cox model and return its DFBETA diagnosticsmorie_dfbeta_cox
DiNardo-Fortin-Lemieux reweighting: composition and structure without a linear modelmorie_dfl_reweight
Diagnostic-test prevalence and Dorfman group testingmorie_diagnostic_prevalence
Difference-in-differences with automatic staggered-design handlingmorie_did
Classic 2x2 Difference-in-Differences estimatormorie_did_2x2
Aggregate group-time ATTs into summary parametersmorie_did_aggregate_gt_att
Goodman-Bacon decomposition of the TWFE DiD estimatormorie_did_bacon_decomposition
Borusyak, Jaravel & Spiess (2024) imputation estimatormorie_did_borusyak
Heterogeneity-robust DiD (de Chaisemartin & D'Haultfoeuille, 2020)morie_did_chaisemartin_dhaultfoeuille
DiD with a continuous (dose) treatmentmorie_did_continuous_treatment
Comprehensive diagnostics for a 2x2 DiD settingmorie_did_diagnostics
Gardner (2022) two-stage difference-in-differencesmorie_did_did2s
Doubly-robust DiD (Sant'Anna & Zhao, 2020)morie_did_doubly_robust
Event-study DiD specificationmorie_did_event_study
Fuzzy DiD (LATE) via 2SLSmorie_did_fuzzy
Callaway-Sant'Anna group-time average treatment effectsmorie_did_group_time_att
Heterogeneity-robust DiD by sub-group / moderator quantilemorie_did_heterogeneous
Honest (relative-magnitudes) sensitivity for event-study estimatesmorie_did_honest_sensitivity
Two-way fixed-effects DiD (panel)morie_did_panel_fe
Group-by-time outcome means for parallel-trends visualisationmorie_did_parallel_trends_data
Placebo DiD on sub-groups expected to be unaffectedmorie_did_placebo_test_group
Placebo DiD on outcomes that should be unaffectedmorie_did_placebo_test_outcome
Placebo DiD at fake treatment timesmorie_did_placebo_test_time
Repeated cross-section DiD (optionally weighted)morie_did_repeated_cross_section
Sensitivity of DiD estimate to parallel-trends violationsmorie_did_sensitivity_analysis
Staggered DiD via group-time ATTs with aggregationmorie_did_staggered
Sun & Abraham (2021) interaction-weighted event studymorie_did_sun_abraham
Synthetic DiD, explicit-name API (native)morie_did_synthdid_estimate
Synthetic Difference-in-Differences (Arkhangelsky et al., 2021)morie_did_synthetic
Pre-trend test for parallel trendsmorie_did_test_parallel_trends
Triple-difference (DDD) estimatormorie_did_triple_difference
Diagnose TWFE-DiD weights (de Chaisemartin & D'Haultfoeuille, 2020)morie_did_twoway_fe_weights
DiD with wild cluster bootstrap p-values (Cameron-Gelbach-Miller, 2008)morie_did_wild_cluster_bootstrap
Mantel-Haenszel DIF effect on the ETS delta scalemorie_dif_delta_mh
Focal-group sample size for detecting differential item functioningmorie_dif_sample_size
Difference-sign test (native)morie_difference_sign_test
Differencing, ordinary and seasonal (ch. 6 pp. 155-158)morie_diffser
DDPM forward (noising) processmorie_diffu_diffusion_forward
Denoising score-matching objectivemorie_diffusion_score_matching
Hash an R object, string, raw vector or file (digest's digest, natively)morie_digest
Bob Jenkins' one-at-a-time hash of strings to integers (digest's digest2int)morie_digest2int
Dilworth's theorem, with both sides computedmorie_dilworth_decomposition
Direct estimation with discrete covariatesmorie_direct_discrete
Direct multi-step forecasting (ch. 18 p. 548)morie_dirmulti
DirRec strategy (ch. 18 p. 551)morie_dirrec
Haar wavelet anomaly detectionmorie_discrete_wavelet_anomaly
Disparity benchmarks: the product identity and the exposure-offset shiftmorie_disparity_benchmark
Oaxaca-Blinder decomposition of a sentencing gap, with its two references and the interactionmorie_disparity_decomposition
Bounds on a police-outcome disparity when exposure is measured by a proxymorie_disparity_exposure_bounds
Cumulative distribution function at pointsmorie_dist_cdf
Integrate a function against a distribution's support, with checksmorie_dist_integrate
A moment of a distribution, analytically or by integrationmorie_dist_moment
Density / mass of a distribution at pointsmorie_dist_pdf
Quantile functionmorie_dist_quantile
Sum a discrete distribution's mass (or a moment) with convergence checkmorie_dist_sum
Construct a general probability-distribution objectmorie_distribution
Cluster-robust double machine learning for the ATEmorie_dml_clustered
Which of the three rules of do-calculus applies (p. 119)morie_docalc
The do-operator as graph surgery (modularity, ch. 7 p. 154)morie_dointerv
Exponential growth rate from the dominant singularitymorie_dominant_singularity_growth
Download a file with an automatic Wayback fallback (via rmoriebricklayer)morie_download
Download bootstrap weight files from CKAN APImorie_download_bootstrap
One DP-Adam stepmorie_dp_adam
Differentially private changepoint locationmorie_dp_changepoint
Differentially private countmorie_dp_count
Differentially private covariance matrixmorie_dp_covariance
Exponential mechanism for private selectionmorie_dp_exponential_mechanism
Differentially private federated averagingmorie_dp_fedavg
Differentially private GAN discriminator stepmorie_dp_gan
Gaussian mechanism for (epsilon, delta)-differential privacymorie_dp_gaussian_mechanism
Bayesian nonparametric DP Gaussian mixture via 'dirichletprocess'morie_dp_gaussian_mixture
Differentially private histogrammorie_dp_histogram
Differentially private k-meansmorie_dp_kmeans
Laplace mechanism for pure epsilon-differential privacymorie_dp_laplace_mechanism
Differentially private logistic regressionmorie_dp_logistic
Differentially private mean of a bounded samplemorie_dp_mean
Differentially private medianmorie_dp_median
Private substitute for a rangemorie_dp_minmax
Differentially private PCAmorie_dp_pca
Exact Dirichlet-process posterior predictivemorie_dp_predictive
Differentially private quantilemorie_dp_quantile
Calibrate a privacy budget to a tolerable error, or the reversemorie_dp_release_calibration
One DP-SGD stepmorie_dp_sgd
Differentially private bounded summorie_dp_sum
Dirichlet-process survival and the Kaplan-Meier limitmorie_dp_survival
Differentially private synthetic datamorie_dp_synthetic_data
Unit of privacy: how many records one entity contributesmorie_dp_unit_definition
Discrete prolate spheroidal (Slepian) sequencesmorie_dpss
Differentiability in quadratic meanmorie_dqm_check
Doubly robust difference-in-differencesmorie_dr_did
DR-learner: doubly robust meta-learner for the CATEmorie_dr_learner
Overlap-weighted doubly-robust ATE with cross-fittingmorie_dr_overlap_weighted
Random-walk-with-drift forecastmorie_drift_forecast
d-separation of x and y given z (ch. 6)morie_dseptest
Autocorrelation from PSD (Wiener-Khinchin)morie_dsp_acf_from_psd
Alpha-trimmed mean filtermorie_dsp_alpha_trimmed_mean
Amplitude histogram featuresmorie_dsp_amplitude_histogram
Signal arc lengthmorie_dsp_arc_length
Bandpower over [f_low, f_high]morie_dsp_band_power
Baseline-corrected Pearson correlationmorie_dsp_baseline_correlation
Centroidal timemorie_dsp_centroidal_time
Coherence-squared spectrummorie_dsp_coherence
Coherence spectrum (alias to morie_dsp_coherence)morie_dsp_coherence_spectrum
Comb filter built from cascaded notchesmorie_dsp_comb
Complex cepstrummorie_dsp_complex_cepstrum
Complex demodulation around a carriermorie_dsp_complex_demodulation
Crest factor (peak / RMS)morie_dsp_crest_factor
Normalised cross-correlation up to a maximum lagmorie_dsp_cross_correlation
morie_dsp_cross_correlation_cppmorie_dsp_cross_correlation_cpp
Cross-spectral density (Welch)morie_dsp_csd
Coefficient of variationmorie_dsp_cv
Derivative-based peak detectionmorie_dsp_derivative_detect
Dicrotic-notch detection in pulse wavesmorie_dsp_dicrotic_notch
Ensemble average over fixed-length segmentsmorie_dsp_ensemble_average
Shannon entropy from amplitude histogrammorie_dsp_entropy_histogram
Even-odd decomposition of a finite signalmorie_dsp_even_odd
Fractional Brownian motion synthesis (1/f^beta)morie_dsp_fbm_synthesis
Form factor (RMS / mean-absolute)morie_dsp_form_factor
Fractal dimension from log-log PSD slopemorie_dsp_fractal_dim_psd
Hann-windowed smoothing filtermorie_dsp_hann_filter
Higuchi fractal dimensionmorie_dsp_higuchi_fd
Hilbert envelopemorie_dsp_hilbert_envelope
All three Hjorth parametersmorie_dsp_hjorth
Hjorth activity (variance)morie_dsp_hjorth_activity
Hjorth complexitymorie_dsp_hjorth_complexity
Hjorth mobilitymorie_dsp_hjorth_mobility
Homomorphic high-pass filtermorie_dsp_homomorphic
Heart rate from RR intervals (BPM)morie_dsp_hr_from_rr
Integrated EMG (sum of absolute values)morie_dsp_integrated_emg
Katz / box-counting fractal dimensionmorie_dsp_katz_fd
LMS adaptive filter (Widrow-Hoff)morie_dsp_lms
morie_dsp_lms_cppmorie_dsp_lms_cpp
Matched filter (time-reversed template correlator)morie_dsp_matched
Mean absolute valuemorie_dsp_mean_abs
Mean frequency from PSDmorie_dsp_mean_frequency
Median filtermorie_dsp_median_filter
morie_dsp_median_filter_cppmorie_dsp_median_filter_cpp
Median frequency from PSDmorie_dsp_median_frequency
Minimum-phase correspondent via cepstral foldingmorie_dsp_min_phase
Moving-average filter (boxcar)morie_dsp_moving_average
Myopulse percentage ratemorie_dsp_myopulse_rate
NLMS adaptive filtermorie_dsp_nlms
morie_dsp_nlms_cppmorie_dsp_nlms_cpp
IIR notch filter (single frequency)morie_dsp_notch
Energy-onset detectionmorie_dsp_onset_detect
Pan-Tompkins QRS detectormorie_dsp_pan_tompkins
Parzen kernel density estimatemorie_dsp_parzen_pdf
Bartlett PSD estimatemorie_dsp_psd_bartlett
Periodogram PSD estimatemorie_dsp_psd_periodogram
Convert PSD to decibelsmorie_dsp_psd_to_db
Welch PSD estimate (rmorie native)morie_dsp_psd_welch
QRS-style waveform descriptorsmorie_dsp_qrs_features
RLS adaptive filtermorie_dsp_rls
morie_dsp_rls_cppmorie_dsp_rls_cpp
Root mean squaremorie_dsp_rms
Ruler / divider fractal dimensionmorie_dsp_ruler_fd
Shannon-energy envelopemorie_dsp_shannon_energy
Shape factor (mean-absolute / mean-sqrt-absolute-squared)morie_dsp_shape_factor
Slope sign changesmorie_dsp_slope_sign_changes
Signal-to-noise ratio estimate (dB)morie_dsp_snr
SNR improvement attributable to a filter (dB)morie_dsp_snr_improvement
Spectral edge frequency (e.g. SEF95)morie_dsp_spectral_edge
Spectral entropy (Shannon, base 2)morie_dsp_spectral_entropy
Spectral flatness (Wiener entropy)morie_dsp_spectral_flatness
Spectral kurtosis from PSDmorie_dsp_spectral_kurtosis
k-th spectral momentmorie_dsp_spectral_moment
Spectral power ratio between two bandsmorie_dsp_spectral_ratio
Synchronized average around trigger indicesmorie_dsp_synchronized_average
T-wave detection by post-QRS argmax searchmorie_dsp_t_wave
Teager-Kaiser energy operatormorie_dsp_teager_energy
Normalised template matchingmorie_dsp_template_match
Threshold-based event detectionmorie_dsp_threshold_detect
Turning-points stationarity testmorie_dsp_turning_points
Willison turns countmorie_dsp_turns_count
Variance ratio (x vs. y)morie_dsp_variance_ratio
Waveform length (total variation)morie_dsp_waveform_length
Per-sample (normalised) waveform lengthmorie_dsp_waveform_length_norm
Wiener filter (frequency domain)morie_dsp_wiener_filter
Solve the Wiener-Hopf normal equationsmorie_dsp_wiener_hopf
Willison amplitudemorie_dsp_willison_amplitude
Window function generatormorie_dsp_window
Zero-crossing ratemorie_dsp_zero_crossing
Dual-frame total with sample overlap (Hartley 1962)morie_dual_frame_total
Combine value + advantage streams: Q = V + A - mean_a A (hmdldqn)morie_dueling_q
Dunnett's many-to-one comparisons with exact multivariate-t p-valuesmorie_dunnett_test
E-divisive multiple change-point analysismorie_e_div
Compute E-value for unmeasured confoundingmorie_e_value
ECFP4 extended-connectivity fingerprintmorie_ecfp4
ECFP6 extended-connectivity fingerprintmorie_ecfp6
ECOD - empirical-CDF outlier detectionmorie_ecod
Duncan-Davis bounds: what neighbourhood marginals say about an individual ratemorie_ecological_bounds
Between/within decomposition of a correlation across groupsmorie_ecological_decompose
Radiative forcing from a CO2 concentration ratiomorie_ecsTCR_co2_forcing
Strip attributes from a vector for attribute-agnostic processingmorie_eda_as_vector
Standardised comparison of several tables' summariesmorie_eda_compare
Bundle several EDA tables into an explicit multi-table datasetmorie_eda_dataset
The index column name of an EDA tablemorie_eda_index
Join two EDA tables on an explicitly named columnmorie_eda_join
Accessible exploratory plot of one variable against anothermorie_eda_plot
Automatic per-variable summary of a table (meta-level extraction)morie_eda_summary
Construct an EDA table with an explicit index columnmorie_eda_table
Effective dose with Fieller's intervalmorie_effective_dose
Kish effective sample sizemorie_effective_sample_size
Effective sample size of an MCMC chainmorie_effective_sample_size_bayes
Bulk effective sample sizemorie_effective_sample_size_bulk
Tail effective sample sizemorie_effective_sample_size_tail
Contrasts / comparisons (native)morie_effects_comparisons
Estimated marginal means (native)morie_effects_emmeans
Adjusted predictions (native)morie_effects_predictions
Marginal slopes (partial derivatives, native)morie_effects_slopes
Tidy coefficient table for a fitted modelmorie_effects_tidy
Semiparametric efficiency and minimax bounds for the ATEmorie_efficiency_bound_ate
Cox model with the Efron tie correctionmorie_efron_tie_correction
Engle-Granger two-step cointegration testmorie_eg_coint
EGARCH(1,1) asymmetric volatility modelmorie_egarch_model
Loss-balanced (imbalance-regularized) causal forestmorie_egregious_loss_forest
EHH decay around a core SNPmorie_ehhdec
Earth Mover's Distance between two distributions over one domainmorie_emd
Carbon intensity of a country's gridmorie_emissions_carbon_intensity
Track the energy and carbon cost of a computationmorie_emissions_start morie_emissions_stop morie_emissions_track
Verify an emissions capsulemorie_emissions_verify
Parametric empirical Bayes shrinkage (Morris 1983)morie_empirical_bayes
Empirical Bayes for the Dirichlet concentrationmorie_empirical_bayes_dp
Exact uniform norm of the empirical processmorie_empirical_sup_norm
Ensemble average across realisationsmorie_ensemble_average
Ensure optional packages are installed (interactive helper)morie_ensure_extras
Per-subject DMT vs PCB BOLD pipelinemorie_entheo_analyze_subject
DMT_Imaging: list motion-survived subject IDsmorie_entheo_available_subjects
Clone the DMT_Imaging dataset (Timmerman et al.) into a local cachemorie_entheo_clone_dmt_imaging
DMT_Imaging: dataset overviewmorie_entheo_dataset_overview
Sliding-window dynamic functional connectivity (dRSFC)morie_entheo_dynamic_functional_connectivity
DMT_Imaging: load IRASA EEG regressors for one cortical regionmorie_entheo_load_eeg_region
DMT_Imaging: load one subject's BOLD AAL parcellationmorie_entheo_load_fmri_subject
Lempel-Ziv (LZ76) complexity of a binarised signalmorie_entheo_lz_complexity
EEG band-power decomposition via Welch PSDmorie_entheo_spectral_band_power
Entropy balancingmorie_entropy_balancing
Bracketing entropy integral and the Donsker conditionsmorie_entropy_integral
Population attributable fractionmorie_envhealth_attributable_fraction
End-to-end pollution burdenmorie_envhealth_burden
Per-area pollution burdenmorie_envhealth_burden_by_fsa
Concentration-response functions for PM2.5 and NO2morie_envhealth_cheatsheet morie_envhealth_crf_no2 morie_envhealth_crf_pm25
Concentration index of exposure by incomemorie_envhealth_equity
Deaths avoided under a counterfactual exposure reductionmorie_envhealth_mortality_displaced
Exposure-response double machine learning with bootstrap sensitivitymorie_envhealth_sensitivity
Empirical epsilon of a mechanismmorie_epsilon_dp
Haebara IRT linkingmorie_equating_haebara
Stocking-Lord IRT linkingmorie_equating_stocking_lord
Erdos-Ko-Rado: the largest intersecting family of k-subsetsmorie_erdos_ko_rado
The Erdos-Szekeres monotone subsequence theoremmorie_erdos_szekeres_check
AdaBoost.M1 with decision stumpsmorie_esl_adaboost
Classify with an AdaBoost committeemorie_esl_adaboost_predict
Akaike information criterionmorie_esl_aic_score
Archetypal analysismorie_esl_archetypes
Backpropagation sweepmorie_esl_backprop
Basis-expansion fit with pointwise standard errorsmorie_esl_basis_fit_se
Posterior of basis coefficients under a Gaussian priormorie_esl_bayes_basis_posterior
Bayesian information criterionmorie_esl_bic_score
Restricted Boltzmann machine (contrastive divergence)morie_esl_boltzmann
Bootstrap estimates of prediction errormorie_esl_bootstrap_err
Cross-entropy (multinomial deviance) lossmorie_esl_cross_entropy
Curds and whey multiple-response shrinkagemorie_esl_curds_whey
K-fold cross-validationmorie_esl_cv_score
CART regression treemorie_esl_decision_tree
Dirichlet posterior for category probabilitiesmorie_esl_dirichlet_posterior
Dirichlet process (stick-breaking)morie_esl_dirichlet_proc
Inverted dropoutmorie_esl_dropout
Effective degrees of freedom of a linear smoothermorie_esl_effective_dof
EM for a Gaussian mixturemorie_esl_em_gmm
F test of nested linear modelsmorie_esl_f_test
Flexible discriminant analysis by optimal scoringmorie_esl_fda
Incremental forward stagewise regressionmorie_esl_forward_stagewise
Family-wise error rate of M testsmorie_esl_fwer
Generalized additive model by backfitting and local scoringmorie_esl_gam
Gaussian mixture densitymorie_esl_gaussian_mixture
Gradient boosting with squared-error lossmorie_esl_gbm
K-class gradient tree boostingmorie_esl_gbm_multiclass
Predict with a gradient-boosting modelmorie_esl_gbm_predict
Generalized cross-validationmorie_esl_gcv
Gaussian graphical model with known structuremorie_esl_ggm_fit
Graphical lassomorie_esl_graphical_lasso
Hierarchical mixture of experts fitted by EMmorie_esl_hme
Independent component analysis (FastICA)morie_esl_ica
Classification by indicator-matrix regressionmorie_esl_indicator_regression
Ising model: exact maximum likelihoodmorie_esl_ising_fit
Isomapmorie_esl_isomap
Iteratively reweighted least squares for a GLMmorie_esl_iwls
Parzen kernel density estimatemorie_esl_kernel_density
L1-penalised logistic regressionmorie_esl_l1_logistic
L1-normalised margin of an additive classifiermorie_esl_l1_margin
Lasso by cyclic coordinate descentmorie_esl_lasso
Linear discriminant analysis discriminantsmorie_esl_lda_disc
Least angle regressionmorie_esl_least_angle_reg
Prediction error of a least-squares fitmorie_esl_linear_prediction_error
Locally linear embeddingmorie_esl_lle
Local linear regressionmorie_esl_local_linear
Local multinomial logistic regressionmorie_esl_local_logistic
Logistic regressionmorie_esl_logistic_reg
Mallows' Cp in ESL's scalingmorie_esl_mallows_cp
Pairwise Markov random fieldmorie_esl_markov_rf
Multivariate adaptive regression splinesmorie_esl_mars
Mixture discriminant analysis by EMmorie_esl_mda
Minimum description lengthmorie_esl_mdl
Median nearest-neighbour radius in the unit ballmorie_esl_median_nn_radius
Multiple-output least squaresmorie_esl_multi_output_ls
L1-penalised multinomial logistic regressionmorie_esl_multinomial_l1
Multinomial logistic regressionmorie_esl_multinomial_logit
EM for a multivariate normal with missing valuesmorie_esl_mvn_em_missing
Nadaraya-Watson kernel smoothermorie_esl_nadaraya_watson
Gaussian naive Bayesmorie_esl_naive_bayes
Natural cubic spline basismorie_esl_natural_spline
Single-hidden-layer neural networkmorie_esl_neural_net
Non-negative matrix factorisationmorie_esl_nmf
Least squares by QR (ESL eq 3.6)morie_esl_ols_normal_equations
One-standard-error rulemorie_esl_one_se_rule
The .632 and .632+ prediction-error estimatorsmorie_esl_oob_632
Parametric bootstrap bands for a basis-expansion fitmorie_esl_parametric_bootstrap
Partial dependencemorie_esl_partial_dependence
Principal components by the singular value decompositionmorie_esl_pca_svd
Project rows onto fitted principal componentsmorie_esl_pca_transform
Principal components regressionmorie_esl_pcr
Penalised logistic regression on a basismorie_esl_penalized_logistic
Regressions and partial correlations implied by a precision matrixmorie_esl_precision_regression
Principal curvesmorie_esl_principal_curve
Product density ICA (ProDenICA)morie_esl_prodenica
Projection pursuit regressionmorie_esl_projection_pursuit
Learning vector quantization (LVQ1)morie_esl_prototype_lvq
Quadratic discriminant analysis discriminantsmorie_esl_qda
Random forest for regressionmorie_esl_random_forest
Radial basis function network with fixed prototypesmorie_esl_rbf_network
Residual sum of squares at given coefficientsmorie_esl_residual_sum_squares
Unbiased residual variance for a linear modelmorie_esl_residual_variance
Ridge regression with an unpenalised interceptmorie_esl_ridge
Score-matching objectivemorie_esl_score_match
Standard errors of given coefficientsmorie_esl_se_beta
Self-organizing mapmorie_esl_self_organize
Sure independence screeningmorie_esl_sis_screening
Smoothing spline via the Reinsch penaltymorie_esl_smoothing_spline
Sparse principal componentsmorie_esl_sparse_pca
Supervised principal componentsmorie_esl_supervised_pc
Linear support vector classifiermorie_esl_svc
Kernel support vector machinemorie_esl_svm_kernel
Support-vector regression with the epsilon-insensitive lossmorie_esl_svr
Test-set R-squared relative to the constant modelmorie_esl_test_r2
Two-dimensional thin-plate smoothing splinemorie_esl_thin_plate_spline
Predict with a regression treemorie_esl_tree_predict
Covariance of the least-squares coefficientsmorie_esl_var_beta_hat
Varying-coefficient modelmorie_esl_varying_coef
Vapnik-Chervonenkis bounds on the test errormorie_esl_vc_bound
Haar wavelet smoothingmorie_esl_wavelet_smooth
Weight-decay penalty and its gradientmorie_esl_weight_decay
Z-scores of regression coefficientsmorie_esl_z_score
Effective sample size of an autocorrelated sequencemorie_ess_autocorrelation
Estimate the Average Treatment Effect on the Controls (ATC)morie_estimate_atc
Estimate the Average Treatment Effect (ATE) via Hajek IPWmorie_estimate_ate
Estimate the Average Treatment Effect on the Treated (ATT)morie_estimate_att
Estimate per-unit Conditional Average Treatment Effects (CATE)morie_estimate_cate
Estimate ATE via Double Machine Learning (Partially Linear Regression)morie_estimate_double_ml
Doubly-robust ATE via causal forest (grf)morie_estimate_dr_forest
G-computation (outcome regression) ATE estimatormorie_estimate_g_computation
Estimate Group Average Treatment Effects (GATE)morie_estimate_gate
Estimate the ATE via the Interactive Regression Model (IRM)morie_estimate_irm
Estimate the Local Average Treatment Effect (LATE) via 2SLS / Waldmorie_estimate_late
Eta-squared from F-statisticmorie_eta_squared
The Euler characteristicmorie_euler_characteristic
E-value for a bias-scale effect estimate (native)morie_evalue
Total evidence over a set of models (eq. 3.19, p. 53)morie_evidmix
Posterior model ratio as a product of penalties (eq. 28.13-28.14, p. 351)morie_evratio
Dekkers-Einmahl-de Haan moment estimatormorie_evt_dedh
Ferro-Segers intervals estimator of the extremal indexmorie_evt_extremal_intervals
Runs estimator of the extremal indexmorie_evt_extremal_runs
Sliding-blocks estimator of the extremal indexmorie_evt_extremal_sliding
GEV distribution function (Coles 2001 eq. 3.2)morie_evt_gev_cdf
L-moment estimator of the GEV parametersmorie_evt_gev_lmoments
GEV log-likelihood (Coles 2001 eq. 3.7-3.9)morie_evt_gev_loglik
GEV log-density (Coles 2001 eq. 3.7 integrand; Gumbel eq. 3.9)morie_evt_gev_logpdf
GEV maximum-likelihood fit (Coles 2001 sec. 3.3.2)morie_evt_gev_mle
PWM estimator for the GEV - aliasmorie_evt_gev_pwm
PWM estimator of the generalised Pareto distributionmorie_evt_gpd_pwm
Hill estimator of the tail indexmorie_evt_hill
Hill tail-index estimator - alias entry pointmorie_evt_hill_alias
Madogram estimator of the Pickands dependence functionmorie_evt_madogram
Pickands estimator of the extreme-value indexmorie_evt_pickands
EWMA volatility (RiskMetrics 1996)morie_ewma_volatility
Exact conditional logistic inferencemorie_exact_conditional
Expanding-window cross-validation (ch. 5 p. 130)morie_expandcv
One-way and block-randomized ANOVA (crim shelf)morie_experiment_anova
Exponential mechanism (module-name entry point)morie_expmc
Exponential waiting-time surfacemorie_exponential_dist
Exposure positivity under Bernoulli assignmentmorie_exposure_positivity
The extremal index of a block-cluster process is the reciprocal cluster sizemorie_extremal_index_clusters
Bivariate extreme-value copula from a Pickands dependence functionmorie_extreme_value_copula
Nested-model F change testsmorie_f_change
FACE sandwich-smoothed covariance with FPCAmorie_face_smooth
Rename a city data.frame onto the canonical audit schemamorie_fairness_apply_profile
Average Odds Difference (mean of TPR and FPR gaps)morie_fairness_average_odds_difference
Sharp bounds on a true base rate from a noisy recorded onemorie_fairness_base_rate_bounds
Bias Amplification Score (parity gap x Gini of group rates)morie_fairness_bias_amplification
The five canonical per-area fields the audit consumesMORIE_FAIRNESS_CANONICAL_FIELDS
Construct a city profile (column map onto the canonical audit schema)morie_fairness_city_profile
Column map for a city profilemorie_fairness_column_map
Can two groups' true base rates be ordered under label noise?morie_fairness_compare_groups
Rebalance a biased tabular dataset by groupmorie_fairness_ctgan_debiaser
Demographic Parity Gap (difference in favourable-outcome rates)morie_fairness_demographic_parity
Disparate Impact Ratio (EEOC four-fifths / 80% rule)morie_fairness_disparate_impact
Equalized Odds (TPR / FPR gaps across groups)morie_fairness_equalized_odds
Counterfactual fairness via GAN-style generative modelsmorie_fairness_gan
Look up a registered city profile by case-insensitive namemorie_fairness_get_city
Gini coefficient (concentration of a non-negative distribution)morie_fairness_gini
The false positive rate implied by base rate, PPV and FNRmorie_fairness_implied_fpr
List registered city profile namesmorie_fairness_list_cities
Noisy-OR patrol-detection probabilitiesmorie_fairness_noisy_or_detection
Predictive-policing disparity audit (port of morie.fairness.predpol)morie_fairness_predpol
Aggregate per-record predictive-policing data to per-areamorie_fairness_predpol_aggregate_areas
Predicted-vs-realised rank audit by demographic groupmorie_fairness_predpol_calibration_audit
Descriptive score-by-group disparitymorie_fairness_predpol_score_disparity
Audit how disparity metrics move over time and across citiesmorie_fairness_predpol_temporal_audit
Group-wise rates from a confusion tablemorie_fairness_rates
Register a city profile in the process-local registrymorie_fairness_register_city
Synthetic predictive-policing dataset with a known disparitymorie_fairness_simulate_biased_crime_data
Simulation primitives for the predictive-policing audit subsystemmorie_fairness_simulation
Learn a 2-D crime/patrol location distributionmorie_fairness_spatial_gan
Recover a true base rate when the noise rates are knownmorie_fairness_true_rate
Model-agnostic explainability (XAI) for bias discoverymorie_fairness_xai
First-order Accumulated Local Effects (Apley & Zhu)morie_fairness_xai_ale
Ceteris-paribus profile for one instancemorie_fairness_xai_ceteris_paribus
Partial dependence on one feature (Friedman)morie_fairness_xai_partial_dependence
Permutation feature importance (model-agnostic)morie_fairness_xai_permutation_importance
Shapley feature attributions for one instance (sampling estimator)morie_fairness_xai_shap_values
Faithfulness for one triple (ch. 5 p. 77)morie_faithchk
Is the R-side JIT acceleration active?morie_fast_available
Bias coefficient b_1 (4.14)morie_fauzi_b1_coefficient
Bias coefficient b_2 (4.15)morie_fauzi_b2_coefficient
Bias coefficient b_3 (4.21)morie_fauzi_b3_coefficient
Boundary-free kernel density estimate by bijectionmorie_fauzi_boundary_free_kde
Conditions C1-C6 of Chapter 4morie_fauzi_conditions_c1_c6
First cumulative survival estimator (4.8)morie_fauzi_cumulative_survival_1
Second cumulative survival estimator (4.17)morie_fauzi_cumulative_survival_2
Chen gamma-kernel density estimatemorie_fauzi_gamma_kde
Rosenblatt-Parzen kernel density estimatemorie_fauzi_kde
Nadaraya kernel distribution-function estimatormorie_fauzi_kdfe
Kernel quantile estimator (3.1)morie_fauzi_kernel_quantile
Lemma 3.1: asymptotic representation of the kernel quantile estimatormorie_fauzi_lemma_3_1
MISE of a second-order kernel density estimatemorie_fauzi_mise
Boundary-free mean-residual-life estimator (4.24)morie_fauzi_mrl_boundary_free_2
Naive kernel mean-residual-life estimator (4.2)morie_fauzi_mrl_naive
Fourth-order Mueller kernelmorie_fauzi_muller_kernel
Order-m kernel and its momentsmorie_fauzi_order_m_kernel
AMSE of the sample quantile (3.3)morie_fauzi_quantile_amse
Theorem 4.3: biases and variances of the boundary-free MRL estimatorsmorie_fauzi_theorem_4_3
Theorem 4.4: asymptotic normality of the boundary-free MRL estimatorsmorie_fauzi_theorem_4_4
Theorem 4.5: strong uniform consistency on a bounded intervalmorie_fauzi_theorem_4_5
Theorem 4.6: the mean-residual-life identity at the start of supportmorie_fauzi_theorem_4_6
Pharmacophoric feature classes used by FCFP, in RDKit bit orderMORIE_FCFP_FEATURE_CLASSES
FCFP4 functional-class fingerprintmorie_fcfp4
FDR / q-values / tail-area p-values via 'fdrtool'morie_fdr_qvalues
Proved upper bound on how far the naive loop can move in N stepsmorie_feedback_loop_bound
Drift envelope of the discovery urn at any ratesmorie_feedback_loop_envelope
Proved limit of the two-region feedback loopmorie_feedback_loop_limit
Mean-field feedback-loop recursion for two regionsmorie_feedback_loop_meanfield
Stochastic urn simulation of the two-region feedback loopmorie_feedback_loop_sim
Exact law of the stochastic two-region urn with equal ratesmorie_feedback_loop_urn_law
Felsenstein (1981) pruning likelihood under the F81 modelmorie_felsen
Fetch a dataset from any URL, with automatic format detectionmorie_fetch
Query an ArcGIS FeatureServer / MapServer layermorie_fetch_arcgis
Fetch data from the CKAN API and cache itmorie_fetch_ckan
Read CSV/TSV nativelymorie_fetch_csv
Parse HTML natively (tolerant tag scanner, pure R)morie_fetch_html
Parse JSON text natively (pure R)morie_fetch_json
Fetch one NAPS hourly air-quality filemorie_fetch_naps
Minimal native Parquet reader (pure R)morie_fetch_parquet
Fetch the Ontario SIU corpus into a 64-column SIU.csvmorie_fetch_siu
Fetch a TPS category from the Toronto Police ArcGIS REST endpointmorie_fetch_tps
Unified fetch dispatchermorie_fetch_unified
Parse XML natively into a list tree (pure R)morie_fetch_xml
Find a project root directorymorie_find_project_root
Fine-Gray cumulative incidencemorie_fine_gray_subdistribution_hazard
General FIR filtermorie_fir_filter
Erdos's first-moment lower bound on the diagonal Ramsey numbermorie_first_moment_ramsey
First-passage-time probability in a panel modelmorie_first_passage_time
Fisher's exact test for 2x2 tablesmorie_fisher_exact_test
OLS fit indices: variance partition, R squared, adjusted R squared, Fmorie_fit_indices
Forensic DNA random-match probability and likelihood ratiomorie_forsnp
Fourier seasonality terms (ch. 4 p. 61, ch. 5 p. 95)morie_fourfeat
Frechet differentiability checkmorie_frechet_check
The Friedman urn: cross-colour reinforcement pulls the share to one halfmorie_friedman_urn
Functional delta method with its remaindermorie_functional_delta
Functional data analysismorie_fda_beta_function morie_fda_bic morie_fda_design morie_fda_fit morie_fda_loocv morie_functional_regression
Parametric g-formula standardised meansmorie_g_formula
Generalized additive model fitted natively (mgcv-compatible)morie_gam
A Rosenbaum Gamma bound is not a test of ignorabilitymorie_gamma_bound
Gamma-frailty Cox modelmorie_gamma_frailty_cox
Fit a GARCH(1,1) model to a return seriesmorie_garch_fit
Conditional-variance recursionmorie_garch_recursion
Fit a conditional-variance model by Gaussian quasi-MLmorie_garch_spec_fit
Value-at-Risk and expected shortfall of a one-step forecastmorie_garch_var_es
Group average treatment effects (GATE) by stratified AIPWmorie_gate
Gaussian approximations of binomial and Poisson peaksmorie_gaussian_approx
GBLUP - full mixed-model implementationmorie_gblup_full
Posterior over the input of a Gaussian channel (eq. 11.27-11.29, p. 182)morie_gchpost
Generalized estimating equations with a robust covariancemorie_gee_regression
Generalized gamma AFT modelmorie_generalized_gamma_aft
Generate a stationarity-preserving AR coefficient matrixmorie_generate_ar_coefficients
Generate synthetic epidemiology-style tabular datamorie_generate_synthetic_data
Generate a VAR(L) coefficient array as a 3-d listmorie_generate_var_coefficients
K-fold cross-validation for genomic-prediction accuracymorie_genomic_cross_validation
Genomic prediction modelsmorie_bayes_gblup morie_gblup morie_gblup_model morie_genomic_prediction morie_grm morie_snp_blup
Geodesics of a four-dimensional metricmorie_geods
Kriging interpolation via 'gstat'morie_geostat_krige
Empirical variogram via 'gstat'morie_geostat_variogram
1cycle learning-rate and momentum schedule (Geron Ch 11, morie.fn gr1cy)morie_geron_1cycle_schedule
Advantage actor-critic, A2C (Geron Ch 19, morie.fn hma2c)morie_geron_a2c
Asynchronous advantage actor-critic, A3C (Geron Ch 19, morie.fn hma3c)morie_geron_a3c
Action-value function Q^pi (Geron Ch 18, morie.fn grqpi)morie_geron_action_value_function
One-step actor-critic advantage (Geron Ch 19, morie.fn grac)morie_geron_actor_critic_advantage
Discrete AdaBoost (Geron Ch 6, morie.fn hmadab)morie_geron_adaboost
AdaBoost sample-weight update (Geron Ch 6, morie.fn gradaw)morie_geron_adaboost_weight_update
AdaGrad step, negative-step convention (Geron Ch 11, morie.fn hmadgr)morie_geron_adagrad
AdaGrad update, theta-first signature (Geron Ch 11, morie.fn grada2)morie_geron_adagrad_update
Adam step (Geron Ch 11, morie.fn hmadam)morie_geron_adam
Adam update, theta-first signature (Geron Ch 11, morie.fn gradmo)morie_geron_adam_update
AdaMax step (Geron Ch 11, morie.fn hmadmx)morie_geron_adamax
AdamW step with decoupled weight decay (Geron Ch 11, morie.fn hmadmw)morie_geron_adamw
AdamW with decoupled weight decay (Geron Ch 11, morie.fn grwdc)morie_geron_adamw_decoupled_weight_decay
Agglomerative hierarchical clustering (Geron Ch 8, morie.fn hmagc)morie_geron_agglomerative
Akaike information criterion, vectorised (Geron Ch 8, morie.fn hmaic)morie_geron_aic
AIC for GMM model selection (Geron Ch 8, morie.fn graic)morie_geron_aic_gmm
ALBERT encoder: factorised embedding + cross-layer sharing (Geron Ch 15, hmalbt)morie_geron_albert
AlexNet architecture resolved to shapes and parameter counts (Geron Ch 12, hmalex)morie_geron_alexnet
Autoencoder anomaly detection (Geron Ch 8, morie.fn hmanae)morie_geron_anomaly_autoencoder
GMM-based anomaly detection: log-density thresholding (hmgand)morie_geron_anomaly_gmm
ARIMA(p, d, q) by Hannan-Rissanen (Geron Ch 13, morie.fn hmarim)morie_geron_arima
One-step ARIMA forecast with known coefficients (Geron Ch 13, grarma)morie_geron_arima_forecast
ROC AUC via the Mann-Whitney identity (Geron Ch 3, morie.fn hmauc)morie_geron_auc_roc
ROC curve and AUC by the trapezoid rule (Geron Ch 3, morie.fn grauc)morie_geron_auc_roc_trapezoid
Linear undercomplete autoencoder solved by SVD (Geron Ch 18, hmaen)morie_geron_autoencoder
Autoencoder reconstruction loss and compression (Geron Ch 18, grael)morie_geron_autoencoder_reconstruction_loss
Reverse-mode autograd over a scalar tape (Geron Ch 10, morie.fn hmagrd)morie_geron_autograd
Reverse-mode autodiff over a chain of Jacobians (Geron Ch 10, graut)morie_geron_autograd_chain_rule
Auxiliary-task pretraining then fine-tuning (Geron Ch 11, hmauxpt)morie_geron_auxiliary_task_pretraining
Backpropagation through time (Geron Ch 13, morie.fn grbptt)morie_geron_backprop_through_time
Backpropagation through a feed-forward net (Geron Ch 9, morie.fn hmbp)morie_geron_backpropagation
Backpropagation from stored activations (Geron Ch 9/10, morie.fn grbp)morie_geron_backpropagation_gradient
Bagging over LCG-seeded bootstrap replicates (Geron Ch 6, morie.fn hmbag)morie_geron_bagging
Bagging aggregator over member predictions (Geron Ch 6, morie.fn grbag)morie_geron_bagging_predictor
Bahdanau (additive) attention (Geron Ch 14, morie.fn hmbdn and grbah)morie_geron_bahdanau_attention
BART text-infilling corruption and reconstruction score (Geron Ch 15, hmbart)morie_geron_bart
MSE gradient of linear regression (Geron Ch 4, morie.fn hmbgdg)morie_geron_batch_gd_grad
Batch gradient descent with full loss curve (Geron Ch 4 Eq 4-6, grbgd)morie_geron_batch_gradient_descent
Batch (offline) learning by closed-form least squares (Geron Ch 1, hmbat)morie_geron_batch_learning
Batch normalization with running statistics (Geron Ch 11, morie.fn hmbntr)morie_geron_batch_normalization
Batch normalization, Ioffe-Szegedy running form (Geron Ch 11, morie.fn grbn)morie_geron_batch_normalization_paper
Batch-size heuristic (Geron Ch 9, morie.fn hmbsz)morie_geron_batch_size_heuristic
Beam search over a next-token scorer (Geron Ch 14, morie.fn hmbms)morie_geron_beam_search
Beam search over a fixed per-step score table (Geron Ch 14, grbeam)morie_geron_beam_search_decoder
BERT encoder forward pass with MLM + NSP heads (Geron Ch 15, hmbert)morie_geron_bert
Fine-tune a frozen encoder with a softmax head (Geron Ch 15, hmbftn)morie_geron_bert_finetune
BERT masked-language-model loss (Geron Ch 16, morie.fn grmlm)morie_geron_bert_mlm_loss
BERT next-sentence-prediction loss (morie.fn grnsp)morie_geron_bert_nsp_loss
BF16 quantisation of float32 values (Geron Appendix B, morie.fn hmbf16)morie_geron_bf16
bfloat16 round-trip and range report (Geron Appendix B, morie.fn grbf16)morie_geron_bf16_range
Bias-variance decomposition (Geron Ch 1, morie.fn hmbv)morie_geron_bias_variance_tradeoff
Bayesian information criterion, vectorised (Geron Ch 8, morie.fn hmbic)morie_geron_bic
BIC for GMM model selection (Geron Ch 8, morie.fn grbic)morie_geron_bic_gmm
Combine the two directions of a bidirectional layer (Geron Ch 14, grbrnn)morie_geron_bidirectional_combine
Bidirectional RNN forward pass (Geron Ch 14, morie.fn hmbrnn)morie_geron_bidirectional_rnn
Binary classification by thresholding a logistic score (Geron Ch 3, hmbin)morie_geron_binary_classification
McCulloch-Pitts neuron (Geron Ch 9, morie.fn hmbnm)morie_geron_biological_neuron
BIRCH clustering (Geron Ch 8, morie.fn hmbrch)morie_geron_birch
BLIP pretraining objectives on paired embeddings (Geron Ch 16, hmblip)morie_geron_blip
BLIP multi-task loss with captioning head (Geron Ch 16, morie.fn grblip)morie_geron_blip_itm_itc
BLIP-2 Q-Former bridge (Geron Ch 16, morie.fn hmblp2)morie_geron_blip2
Position-wise feed-forward used by the transformer blocksmorie_geron_block_feed_forward
Layer norm used by the transformer blocks (morie.fn grteb)morie_geron_block_layer_norm
Per-head multi-head attention used by the transformer blocksmorie_geron_block_multi_head_attention
Exact transformer block parameter count, itemised (hmdctr)morie_geron_block_params
Intersection over union of two (x1,y1,x2,y2) boxesmorie_geron_box_iou
Learn a fixed number of BPE merges (Geron Ch 14, morie.fn grbpe)morie_geron_bpe_merge
Byte-pair encoding to a target vocabulary size (Geron Ch 14, hmbpet)morie_geron_bpe_tokenizer
CART algorithm (Geron Ch 5, morie.fn hmcart)morie_geron_cart_algorithm
CART split cost at a node (Geron Ch 5 Eq 5-2, morie.fn grcart)morie_geron_cart_split_cost
Causal mask: TRUE where attention is forbidden (strictly future) (hmdctr)morie_geron_causal_mask
Cross-entropy gradient for one class (morie.fn grn024)morie_geron_ch4_cross_entropy_gradient_vector
Elastic net cost, Eq 4-13 convention (morie.fn grn013)morie_geron_ch4_elastic_net_cost_function
Lasso cost, 2*alpha convention (Geron Eq 4-11, morie.fn grn011)morie_geron_ch4_lasso_regression_cost_function
Linear regression prediction (Geron Eq 4-2, morie.fn grn002)morie_geron_ch4_linear_regression_prediction
Logistic thresholded prediction (Geron Ch 4, morie.fn grn016)morie_geron_ch4_logistic_regression_prediction
MSE gradient vector (Geron Eq 4-7, morie.fn grn007)morie_geron_ch4_mse_gradient_vector
Normal equation (Geron Eq 4-5, morie.fn grn005)morie_geron_ch4_normal_equation
Life satisfaction ~ GDP per capita (Geron Eq 4-1, morie.fn grn001)morie_geron_ch4_simple_linear_life_satisfaction
Softmax function (morie.fn grn021)morie_geron_ch4_softmax_function
Character-level RNN language model (Geron Ch 16, morie.fn hmchrn)morie_geron_char_rnn
Classification + localization head (Geron Ch 14, morie.fn hmclc)morie_geron_classification_localization
Classification MLP (Geron Ch 10, morie.fn hmclsn)morie_geron_classification_mlp
Classification MLP softmax head (Geron Ch 10, morie.fn grmlc)morie_geron_classification_mlp_output
Classification tree with leaf-frequency probabilities (Geron Ch 6, morie.fn hmcdt)morie_geron_classification_tree
CLIP pretraining with zero-shot prompt matching (Geron Ch 16, morie.fn hmclip)morie_geron_clip
CLIP symmetric contrastive loss (Geron Ch 16, morie.fn grclp)morie_geron_clip_contrastive_loss
Computational graph with reverse-mode differentiation (Geron Ch 12, morie.fn hmcgrf)morie_geron_computational_graph
Row-wise Gaussian affinities with sigma solved to hit a target perplexitymorie_geron_conditional_p
Confusion matrix with per-class precision/recall/F1 (Geron Ch 3, grcfm)morie_geron_confusion_matrix
Confusion matrix over arbitrary labels (Geron Ch 3, morie.fn hmcfm)morie_geron_confusion_matrix_labeled
InfoNCE contrastive loss (Geron Ch 16, morie.fn grctr)morie_geron_contrastive_infonce
Contrastive learning with in-batch negatives (hmcst)morie_geron_contrastive_learning
Trained patch convolutional autoencoder (Geron Ch 18, morie.fn hmcae)morie_geron_conv_autoencoder_trained
Convolution output size per axis (Geron Ch 12, morie.fn grcos)morie_geron_conv_output_size
2-D convolution forward pass, single filter (Geron Ch 12, morie.fn grcvf)morie_geron_conv2d_forward
Convolutional autoencoder forward pass (Geron Ch 18, morie.fn grcae)morie_geron_convolutional_autoencoder
Cosine annealing schedule (Geron Ch 11, morie.fn hmlcos)morie_geron_cosine_annealing
Credit assignment over a trajectory (Geron Ch 18, morie.fn hmcrd)morie_geron_credit_assignment
Scaled dot-product cross-attention (Geron Ch 15, morie.fn grca)morie_geron_cross_attention
Cross-attention with per-query entropy (Geron Ch 15, morie.fn hmcatt)morie_geron_cross_attention_report
Softmax cross-entropy cost (Geron Ch 4, morie.fn hmcec)morie_geron_cross_entropy_cost
Softmax cross-entropy gradient (Geron Ch 4, morie.fn hmceg)morie_geron_cross_entropy_gradient
K-fold cross-validation score (Geron Ch 1/2, morie.fn grcvs)morie_geron_cross_validation_score
Curse of dimensionality (Geron Ch 8, morie.fn hmcod)morie_geron_curse_dimensionality
DALL-E autoregressive image-token generation (hmdale)morie_geron_dalle
DALL-E autoregressive image-token scoring (Geron Ch 16, morie.fn grdal)morie_geron_dalle_autoregressive_token
Mini-batch index plan with deterministic Fisher-Yates shuffling (hmdld)morie_geron_dataloader
Mini-batch DataLoader indices (Geron Ch 10, morie.fn grdlm)morie_geron_dataloader_minibatch
DBSCAN clustering, BFS over density-connected cores (hmdbs)morie_geron_dbscan
DBSCAN core / border / noise points (Geron Ch 8, morie.fn grdbs)morie_geron_dbscan_core_point
DCGAN generator/discriminator resolved to concrete shapes (hmdcg)morie_geron_dcgan
DCGAN generator forward pass (Geron Ch 18, morie.fn grdcgan)morie_geron_dcgan_generator
DDIM deterministic sub-sequence sampling (hmddim)morie_geron_ddim
Deterministic DDIM sampling step (Geron Ch 18, morie.fn grddim)morie_geron_ddim_sampling_step
Linear DDPG: TD critic, deterministic-policy-gradient actor, Polyak targets (hmddpg)morie_geron_ddpg
DDPM: per-timestep affine eps-model trained on the noise-prediction objective (hmddpm)morie_geron_ddpm
DDPM forward diffusion q(x_t | x_0) (Geron Ch 18, morie.fn grdpmf)morie_geron_ddpm_forward_process
DDPM reverse denoising step (Geron Ch 18, morie.fn grdpmr)morie_geron_ddpm_reverse_step
DDPM simplified noise-prediction loss (Geron Ch 18, morie.fn grdpml)morie_geron_ddpm_simple_loss
Decision boundary for logistic regression theta^T x = 0 (hmdbd)morie_geron_decision_boundary
Decoder-only transformer (GPT family), resolved to exact param counts (hmdctr)morie_geron_decoder_only
Deep (stacked) RNN forward pass, bottom-up per time step (hmdrnn)morie_geron_deep_rnn
DeiT: ViT architecture + distillation token, resolved concretely (hmdeit)morie_geron_deit
DeiT hard-label distillation loss (Geron Ch 16, morie.fn grdeit)morie_geron_deit_distillation_loss
Denoising autoencoder loss against the clean input (Geron Ch 18, grdae)morie_geron_denoising_autoencoder
Denoising autoencoder, trained (hmdae)morie_geron_denoising_autoencoder_train
DETR: CNN-transformer pipeline resolved concretely; matching via Hungarian (hmdetr)morie_geron_detr
DETR Hungarian matching and set-prediction loss (Geron Ch 16, grdetr)morie_geron_detr_hungarian_matching
Diffusion forward process: chain and closed form, cross-checked (hmdfw)morie_geron_diffusion_forward
Ancestral DDPM reverse sampling from x_T to x_0 (hmdrv)morie_geron_diffusion_reverse
Digamma psi(x) for x > 0 (recurrence + asymptotic series; no scipy dep)morie_geron_digamma
DINO cross-view self-distillation with centering, sharpening, momentum teacher (hmdino)morie_geron_dino
DINO self-distillation loss (Geron Ch 16, morie.fn grdino)morie_geron_dino_self_distillation
Discounted return (Geron Ch 18, morie.fn grret)morie_geron_discounted_return
DistilBERT triple-loss distillation (hmdbrt)morie_geron_distilbert
Double DQN training loop; target computed by the online/target argmax split (hmddqn)morie_geron_double_dqn
Double DQN targets (Geron Ch 19, morie.fn grddqn)morie_geron_double_dqn_target
Direct preference optimization (DPO) loss (hmdpo)morie_geron_dpo
Direct Preference Optimization loss (Geron Ch 15, morie.fn grdpo)morie_geron_dpo_loss
Tabular DQN: replay mini-batches + periodically synced target net (hmdqn)morie_geron_dqn
DQN bootstrap MSE loss (Geron Ch 19, morie.fn grdqnl)morie_geron_dqn_loss
Inverted dropout (Geron Ch 11, morie.fn grdro)morie_geron_dropout
Inverted dropout: y = mask * x / (1 - p) (hmdrp)morie_geron_dropout_alt
Dueling DQN decomposition (Geron Ch 19, morie.fn grduel)morie_geron_dueling_dqn
Dueling DQN: exact gradients through Q = V + A - mean(A) (hmdldqn)morie_geron_dueling_dqn_alt
Dynamic INT8 quantization (Geron Ch 19, morie.fn grdyq)morie_geron_dynamic_quantization
Dynamic quantization: static per-tensor weights, dynamic per-batch activations (hmdqnt)morie_geron_dynamic_quantization_alt
Early stopping on validation RMSE (Geron Ch 4, morie.fn greast)morie_geron_early_stopping
Early stopping: batch GD keeping the best validation snapshot (hmearl)morie_geron_early_stopping_alt
Elastic net cost: MSE + r\*alpha\*L1 + (1-r)/2\*alpha\*L2 (hmenet)morie_geron_elastic_net
Elastic net cost (Geron Eq 4-12, morie.fn grelas)morie_geron_elastic_net_cost
VAE evidence lower bound with closed-form Gaussian KL (hmelb)morie_geron_elbo
ELU activation (Geron Ch 11, morie.fn hmelu)morie_geron_elu
Embedding table lookup (Geron Ch 16, morie.fn gremb)morie_geron_embedding_lookup
Encoder-decoder seq2seq decoding loop (Geron Ch 16, morie.fn gredsq)morie_geron_encoder_decoder_seq2seq
Original encoder-decoder transformer, resolved to exact params + 3 masks (hmencd)morie_geron_encoder_decoder_transformer
Encoder-only transformer (BERT-family), resolved to exact param counts (hmencox)morie_geron_encoder_only
Parameter count of a transformer encoder stackmorie_geron_encoder_params
Shannon entropy impurity (Geron Ch 6, morie.fn hment)morie_geron_entropy_impurity
Epsilon-greedy action selection (Geron Ch 18, morie.fn grepl)morie_geron_epsilon_greedy
Epsilon-greedy action distribution, deterministic LCG draw (hmeg)morie_geron_epsilon_greedy_alt
Error analysis via row-normalised confusion matrix, diagonal removed (hmeaf)morie_geron_error_analysis
Explained variance ratio (Geron Ch 8, morie.fn grevr)morie_geron_explained_variance_ratio
Explained variance ratio from the SVD of the centred data matrix (hmevr)morie_geron_explained_variance_ratio_alt
Exploding gradients: gradients grow through layersmorie_geron_exploding_gradients
Extra-trees: uniformly random per-feature split thresholds (hmext)morie_geron_extra_trees
F1 score (Geron Eq 3-3, morie.fn grf1)morie_geron_f1_score
F1 score from a confusion matrix delegated to hmcfm (hmf1)morie_geron_f1_score_alt
FashionMNIST CNN architecture resolved to concrete shapes (hmfmn)morie_geron_fashion_mnist
Fully convolutional network forward pass, dense per-pixel prediction (hmfcn)morie_geron_fcn
Transposed convolution / FCN upsampling (Geron Ch 14, morie.fn grfcn)morie_geron_fcn_upsample
Forest feature importance, MDI (Geron Ch 7, morie.fn grfim)morie_geron_feature_importance_mdi
Feature map: activation(conv(x, K) + b), convolution delegated to hmfmap's core (hmfmap)morie_geron_feature_map
Convolutional feature-map size (Geron Ch 14, morie.fn grfmp)morie_geron_feature_map_dim
Few-shot in-context prompt construction with a zero-shot control (hmfsf)morie_geron_few_shot
Convolutional filter tensor, He-initialised (Geron Ch 12, morie.fn hmkrn)morie_geron_filter_kernel
Native SGD fine-tuning with frozen params, warmup and weight decay (hmfth)morie_geron_finetune_lm
Fit (a, b) so 1/(1 + a d^(2b)) matches UMAP's target curvemorie_geron_fit_ab
Flamingo: perceiver resampler + tanh-gated cross-attention (hmflmg)morie_geron_flamingo
Flamingo tanh-gated cross-attention (Geron Ch 17, morie.fn grflam)morie_geron_flamingo_cross_modal_attn
FlashAttention: tiled online-softmax, exact (hmfa)morie_geron_flash_attention
FlashAttention tiled online softmax (Geron Ch 16, morie.fn grflash)morie_geron_flash_attention_tile
Forward-mode automatic differentiation via dual numbers (hmfad)morie_geron_forward_autodiff
Forward-mode autodiff (Geron Ch 12, morie.fn grfad)morie_geron_forward_mode_autodiff
FP16 mixed precision with loss scaling (Geron Ch 19, morie.fn grfp6)morie_geron_fp16_mixed_precision
IEEE-754 binary16 round-trip with field decomposition (hmfp16)morie_geron_fp16_quant
IEEE-754 binary32 field decomposition, reconstructed exactly (hmfp32)morie_geron_fp32
GAN minimax training: linear generator vs logistic discriminator (hmgan)morie_geron_gan
GAN minimax objective (Geron Ch 17, morie.fn grgan)morie_geron_gan_minimax
GAN mode coverage / collapse (Geron Ch 17, morie.fn grmcol)morie_geron_gan_mode_collapse_metric
Gaussian mixture model fit via EM, log-space responsibilities (hmgmm)morie_geron_gaussian_mixture
Gaussian random projection X' = X R, R_ij ~ N(0, 1/d') (hmgrp)morie_geron_gaussian_rand_projection
Gaussian random projection (Geron Ch 8, morie.fn grgrp)morie_geron_gaussian_random_projection
GELU activation (Geron Ch 11, morie.fn hmgelu)morie_geron_gelu
Gini impurity (Geron Ch 6, morie.fn hmgini)morie_geron_gini_impurity
Gini impurity (Geron Eq 5-1, morie.fn grgin)morie_geron_gini_impurity_grgin
Glorot (Xavier) initialization (Geron Ch 11, morie.fn hmxav)morie_geron_glorot_init
Glorot (Xavier) initialization (Geron Ch 11, morie.fn grxvi)morie_geron_glorot_xavier_init
Gaussian mixture EM step (Geron Ch 9, morie.fn grgmem)morie_geron_gmm_em_step
Gaussian mixture log-likelihood (Geron Ch 9, morie.fn grgmll)morie_geron_gmm_log_likelihood
Free-parameter count of a GMM (Geron Ch 8, morie.fn graic)morie_geron_gmm_n_params
GoogLeNet architecture resolved to concrete shapes and exact params (hmgoog)morie_geron_googlenet
Autoregressive next-token cross-entropy (Geron Ch 16, morie.fn grgptl)morie_geron_gpt_autoregressive_loss
GPT-1 architecture (delegated to hmdctr) plus the causal LM objective (hmgpt1)morie_geron_gpt1
GPT-2 released configurations resolved through hmdctr (hmgpt2)morie_geron_gpt2
GPT-3 175B architecture accounting: exact params, shape trace, KV-cache (hmgpt3)morie_geron_gpt3
Gradient boosted regression trees: fit residuals sequentially (hmgbrt)morie_geron_gradient_boosting
Gradient boosting residual stage (Geron Ch 7, morie.fn grgbm)morie_geron_gradient_boosting_residual
Gradient clipping by global norm (Geron Ch 11, morie.fn hmgcl)morie_geron_gradient_clipping
Global-norm gradient clipping (Geron Ch 11, morie.fn grgcl)morie_geron_gradient_clipping_grgcl
Exhaustive grid search scored by K-fold CV, delegated to 'morie_geron_cross_validation_score' (hmgrs)morie_geron_grid_search
Exhaustive grid search with K-fold CV (Geron Ch 2, morie.fn grgs)morie_geron_grid_search_cv
GRU cell forward step (Geron Ch 13, morie.fn hmgru)morie_geron_gru
GRU cell forward pass (Geron Ch 15, morie.fn grgruc)morie_geron_gru_cell
Hard voting ensemble (Geron Ch 7, morie.fn grvoth)morie_geron_hard_voting
He (Kaiming) normal initialization (Geron Ch 11, morie.fn grhei)morie_geron_he_init
He (Kaiming) initialization (Geron Ch 11, morie.fn hmhei)morie_geron_he_init_hmhei
Heaviside step activation (Geron Ch 10, morie.fn hmhev)morie_geron_heaviside
Heaviside step activation (Geron Ch 10, morie.fn grhev)morie_geron_heaviside_step
Hebbian update (Geron Ch 10, morie.fn hmhebb)morie_geron_hebb_rule
Perceptron (Hebb) learning rule (Geron Ch 10, morie.fn grhbb)morie_geron_hebb_rule_grhbb
Task pipeline: preprocess -> model -> postprocess (Geron Ch 14, morie.fn hmhfpi)morie_geron_hf_pipelines
Trainer loop: mini-batch SGD with per-epoch evaluation (Geron Ch 14, morie.fn hmhftn)morie_geron_hf_trainer
Depth selection by validation-error plateau (Geron Ch 9, morie.fn hmhplm)morie_geron_hidden_layers_heuristic
Histogram-based gradient boosting, squared loss (Geron Ch 6, morie.fn hmhgb)morie_geron_histogram_gradient_boosting
Hyperparameter tuning by grid or random search (Geron Ch 1, morie.fn hmhpt)morie_geron_hyperparameter_tuning
Colour segmentation by k-means on pixels (Geron Ch 8, morie.fn hmiseg)morie_geron_image_segmentation
Median imputation with a missingness indicator (Geron Ch 2, morie.fn hmimp)morie_geron_imputation_median
In-context / few-shot prompt assembly (Geron Ch 16, morie.fn grinc)morie_geron_in_context_learning
In-context learning by prompt-conditioned scoring (Geron Ch 15, morie.fn hmicl)morie_geron_in_context_learning_hmicl
Incremental PCA via streaming co-moment updates (Geron Ch 7, morie.fn hmipca)morie_geron_incremental_pca
Information gain of a split (Geron Ch 6, morie.fn grig)morie_geron_information_gain
Information gain from a split, entropy criterion (Geron Ch 5, morie.fn hmigr)morie_geron_information_gain_hmigr
k-nearest-neighbour (instance-based) prediction (Geron Ch 1, morie.fn hmins)morie_geron_instance_based
Post-training integer quantization (Geron Ch 17, morie.fn hmint8)morie_geron_int8_quant
Symmetric INT8 quantization (Geron Ch 19, morie.fn grq8)morie_geron_int8_quantization
Isomap: geodesic MDS via kNN graph + Dijkstra (Geron Ch 7, morie.fn hmiso)morie_geron_isomap
Johnson-Lindenstrauss minimum dimension (Geron Ch 8, morie.fn hmjl)morie_geron_johnson_lindenstrauss
Johnson-Lindenstrauss minimum dimension (Geron Ch 8, morie.fn grjll)morie_geron_johnson_lindenstrauss_bound
Eigen-decomposition step shared by every kernel-PCA variant (Geron Ch 7, morie.fn hmkprbf helper)morie_geron_kernel_pca_from_gram
Kernel PCA with polynomial kernel (Geron Ch 7, morie.fn hmkppl)morie_geron_kernel_pca_poly
Kernel PCA with an RBF kernel (Geron Ch 8, morie.fn grkpc)morie_geron_kernel_pca_rbf
Kernel PCA with RBF kernel (Geron Ch 7, morie.fn hmkprbf)morie_geron_kernel_pca_rbf_hmkprbf
Kernel PCA with sigmoid kernel (Geron Ch 7, morie.fn hmkpsg)morie_geron_kernel_pca_sigmoid
K-fold partition plus CV score (Geron Ch 2, morie.fn hmkfd)morie_geron_kfold
K-fold cross-validation splits (Geron Ch 2, morie.fn grkfd)morie_geron_kfold_cv
Gaussian KL to N(0, I) (Geron Ch 17, morie.fn grkldg)morie_geron_kl_divergence_gaussian
k-means clustering via Lloyd's algorithm, k-means++ seeded (Geron Ch 8, morie.fn hmkmn)morie_geron_kmeans
k-means assumption diagnostics (Geron Ch 8, morie.fn hmkmlim)morie_geron_kmeans_limits
k-means inertia (Geron Ch 9, morie.fn grkmo)morie_geron_kmeans_objective
k-means++ seeding, D^2 sampling (Geron Ch 8, morie.fn hmkmpp)morie_geron_kmeans_plus_plus
k-means++ seeding (Geron Ch 9, morie.fn grkmpp)morie_geron_kmeans_pp_seeding
Knowledge distillation loss (Geron Ch 17, morie.fn hmkd)morie_geron_knowledge_distillation
Knowledge distillation loss (Geron Ch 19, morie.fn grkdl)morie_geron_knowledge_distillation_loss
KV-cache quantization (Geron Ch 17, morie.fn hmkvc)morie_geron_kv_cache_compress
KV-cache memory footprint (Geron Ch 16, morie.fn grkvc)morie_geron_kv_cache_compression
L1 (Lasso) penalty, subgradient and prox (Geron Ch 4, morie.fn hml1r)morie_geron_l1_regularization
L2 (ridge) regularization penalty (Geron Ch 11, morie.fn hml2r)morie_geron_l2_regularization
Lasso cost (Geron Eq 4-10, morie.fn grlaso)morie_geron_lasso_cost
Lasso cost = MSE + alpha * L1 penalty (Geron Ch 4, morie.fn hmlaso)morie_geron_lasso_cost_hmlaso
Layer normalization inside an RNN cell (Geron Ch 13, morie.fn hmlnr)morie_geron_layer_norm_rnn
Layer normalization (Geron Ch 15, morie.fn grln)morie_geron_layer_normalization
Layer normalization: per-sample, across features (Geron Ch 11, morie.fn hmlntr)morie_geron_layer_normalization_hmlntr
Per-layer gradient L2 norms, ordered input side firstmorie_geron_layer_norms
Leaky ReLU (Geron Ch 11, morie.fn hmlrel)morie_geron_leaky_relu
Learning curves (Geron Ch 4, morie.fn grlrnc)morie_geron_learning_curves
Learning curves: train/validation RMSE vs training-set size (Geron Ch 4, morie.fn hmlcv)morie_geron_learning_curves_hmlcv
Learning-rate finder heuristic: divergence point / safety (Geron Ch 9, morie.fn hmlrh)morie_geron_learning_rate_heuristic
Power (1/t) learning-rate schedule (Geron Ch 4, morie.fn hmlrs)morie_geron_learning_rate_schedule
LeNet-5 architecture resolution (Geron Ch 12, morie.fn hmlnet)morie_geron_lenet5
Affine layer forward pass (Geron Ch 10, morie.fn grlinf)morie_geron_linear_layer_forward
Life satisfaction = theta0 + theta1 * GDP per capita (Geron Ch 1, morie.fn hmlrl)morie_geron_linear_regression_life
Linear-regression MSE cost and gradient (Geron Ch 4, morie.fn hmmsec)morie_geron_linreg_mse_cost
Linear-regression MSE cost (Geron Eq 4-3, morie.fn grmse)morie_geron_linreg_mse_cost_grmse
Linear regression by SGD, cross-checked against normal equations (Geron Ch 10, morie.fn hmlrpt)morie_geron_linreg_pytorch
Local outlier factor (Geron Ch 9, morie.fn grlof)morie_geron_local_outlier_factor
Local outlier factor (Geron Ch 8, morie.fn hmlof)morie_geron_local_outlier_factor_hmlof
Locally linear embedding (Geron Ch 7, morie.fn hmlle)morie_geron_locally_linear_embedding
Binary log loss (Geron Ch 4, morie.fn hmlogcl)morie_geron_logistic_cost
Logistic cost gradient (Geron Eq 4-18, morie.fn grlogg)morie_geron_logistic_cost_gradient
Binary logistic log-loss (Geron Eq 4-17, morie.fn grlogc)morie_geron_logistic_cross_entropy_cost
Logistic gradient and Hessian (Geron Ch 4, morie.fn hmlogg)morie_geron_logistic_gradient
Logistic probability (Geron Ch 4, morie.fn hmlogp)morie_geron_logistic_probability
Logistic regression probability (Geron Eq 4-15, morie.fn grlogp)morie_geron_logistic_regression_probability
Cosine annealing LR schedule (Geron Ch 11, morie.fn grlrco)morie_geron_lr_cosine_annealing
Exponential learning-rate decay (Geron Ch 11, morie.fn hmlrex)morie_geron_lr_exponential
Exponential LR decay (Geron Ch 11, morie.fn grlrex)morie_geron_lr_exponential_schedule
LSTM cell forward step (Geron Ch 13, morie.fn hmlstm)morie_geron_lstm
LSTM cell forward pass (Geron Ch 15, morie.fn grlstc)morie_geron_lstm_cell
Mean absolute error (Geron Ch 2, morie.fn hmmae)morie_geron_mae
Mean absolute error (Geron Eq 2-2, morie.fn grmae)morie_geron_mae_grmae
Masked language modelling objective (Geron Ch 15, morie.fn hmmlm)morie_geron_masked_lm
Optimal parenthesisation of a matrix chain (matrix-chain DP)morie_geron_matmul_order
Max-norm projection (Geron Ch 11, morie.fn hmmnr)morie_geron_max_norm
Max-norm weight projection (Geron Ch 11, morie.fn grmnr)morie_geron_max_norm_regularization
Max pooling over a sliding window, per channel (Geron Ch 12, morie.fn hmmxp)morie_geron_max_pool
2D max pooling (Geron Ch 14, morie.fn grmpl)morie_geron_max_pooling
Monte Carlo dropout uncertainty (Geron Ch 11, morie.fn hmmcd)morie_geron_mc_dropout
MDP validation plus value iteration (Geron Ch 19, morie.fn hmmdp)morie_geron_mdp
Classical (Torgerson) multidimensional scaling (Geron Ch 7, morie.fn hmmds)morie_geron_mds
Mean shift: mode-seeking via kernel density gradient ascent (Geron Ch 8, morie.fn hmmnsh)morie_geron_mean_shift
Memory-cell recurrence c_t = f(c_prev, x_t) (Geron Ch 13, morie.fn hmmcel)morie_geron_memory_cell
Min-max scaling to a target range (Geron Ch 2, morie.fn hmmms)morie_geron_min_max_scaling
Mini-batch gradient descent (Geron Ch 4, morie.fn hmmbgd)morie_geron_minibatch_gd
Mini-batch gradient descent (Geron Ch 4, morie.fn grmgd)morie_geron_minibatch_gradient_descent
Mini-batch k-means, Sculley's variant (Geron Ch 8, morie.fn hmmbkm)morie_geron_minibatch_kmeans
Min-max feature scaling (Geron Ch 2, morie.fn grmms)morie_geron_minmax_scaler
Mistral-7B architecture accounting (Geron Ch 15, morie.fn hmmis7)morie_geron_mistral7b
MLP forward pass (Geron Ch 9, morie.fn hmmlpf)morie_geron_mlp
MLP forward pass (Geron Ch 10, morie.fn grmlpf)morie_geron_mlp_forward
Mode-collapse diagnostics (Geron Ch 18, morie.fn hmmdc)morie_geron_mode_collapse
Model-based least squares, closed form cross-checked against descent (Geron Ch 1, morie.fn hmmod)morie_geron_model_based
MCP/JSON-RPC 2.0 exchange with envelope validation (Geron Ch 15, morie.fn hmmcp)morie_geron_model_context_protocol
Optimal contiguous model-parallel layer partition (Geron Ch 17, morie.fn hmmpp)morie_geron_model_parallelism
Momentum step (Geron Ch 11, morie.fn hmmom)morie_geron_momentum
Momentum optimizer step (Geron Ch 11, morie.fn grmom)morie_geron_momentum_update
Multi-head attention (Geron Ch 16, morie.fn grmha)morie_geron_multi_head_attention
Multi-head attention: split, attend, concat, project (Geron Ch 15, morie.fn hmmha)morie_geron_multihead_attention
Multilabel classification metrics, leave-one-out kNN default (Geron Ch 3, morie.fn hmmlb)morie_geron_multilabel
Multilabel thresholded prediction (Geron Ch 3, morie.fn grmlb)morie_geron_multilabel_classification
Softmax regression fitted by batch gradient descent (Geron Ch 4, morie.fn hmmnl)morie_geron_multinomial_logistic
Multioutput classification by k-NN vote (Geron Ch 3, morie.fn hmmto)morie_geron_multioutput
NAdam step (Geron Ch 11, morie.fn hmnadm)morie_geron_nadam
Nesterov accelerated gradient (Geron Ch 11, morie.fn hmnag)morie_geron_nesterov
Nesterov accelerated gradient (Geron Ch 11, morie.fn grnag)morie_geron_nesterov_accelerated_gradient
Neurons-per-layer heuristic (Geron Ch 10, morie.fn hmnpl)morie_geron_neurons_per_layer
NMF Frobenius objective (Geron Ch 8, morie.fn grnmfo)morie_geron_nmf_objective
OLS by the normal equation (Geron Ch 4, morie.fn hmneq)morie_geron_normal_equation
Normal equation, closed-form OLS (morie.fn grnorm)morie_geron_normal_equation_grnorm
Central-difference numerical derivative (morie.fn grnud)morie_geron_numerical_differentiation
1cycle learning-rate policy (Geron Ch 11, morie.fn hml1c)morie_geron_one_cycle
One-hot encoding (Geron Ch 2, morie.fn hmohe)morie_geron_one_hot_encoding
One-hot encoding (Geron Ch 2, morie.fn grohe)morie_geron_one_hot_encoding_grohe
One-vs-One multiclass reduction (Geron Ch 3, morie.fn grovo)morie_geron_one_vs_one
One-vs-Rest multiclass reduction (Geron Ch 3, morie.fn grovr)morie_geron_one_vs_rest
Ordinal encoding (Geron Ch 2, morie.fn hmord)morie_geron_ordinal_encoding
Ordinal encoding (Geron Ch 2, morie.fn grord)morie_geron_ordinal_encoding_grord
Overfitting diagnostic (Geron Ch 4, morie.fn hmovf)morie_geron_overfitting
Train-validation generalisation gap (morie.fn groft)morie_geron_overfitting_gap
PCA projection (Geron Ch 8, morie.fn grpcap)morie_geron_pca_projection
Peephole LSTM cell (Geron Ch 15, morie.fn grpels)morie_geron_peephole_lstm_cell
Perceiver IO cross-attention bottleneck (morie.fn grpio)morie_geron_perceiver_io
Perceptron learning rule (Geron Ch 10, morie.fn hmpcpt)morie_geron_perceptron
Two-stream attention masks for a factorisation ordermorie_geron_permutation_masks
Polynomial feature expansion (Geron Ch 4, morie.fn grpoly)morie_geron_polynomial_features
Sinusoidal positional encoding (Geron Ch 16, morie.fn hmpe)morie_geron_positional_encoding
PPO clipped surrogate objective (Geron Ch 19, morie.fn grppo)morie_geron_ppo_clipped_objective
Precision TP/(TP+FP) (Geron Ch 3, morie.fn grpre)morie_geron_precision
Precision-recall curve (Geron Ch 3, morie.fn grprc)morie_geron_precision_recall_curve
Route rows down a fitted CART tree (morie.fn hmcart::predict_tree)morie_geron_predict_tree
Prioritized replay importance weights (Geron Ch 19, morie.fn grpex)morie_geron_prioritized_experience_weight
Pyramid ViT spatial-reduction attention (morie.fn grpvt)morie_geron_pyramid_vit_stage
Tabular Q-learning update (Geron Ch 18, morie.fn hmql)morie_geron_q_learning
Q-learning update (Geron Ch 18, morie.fn grql)morie_geron_q_learning_update
Q-value iteration (Geron Ch 19, morie.fn grbo)morie_geron_q_value_iteration
Quantization-aware training (Geron Ch 19, morie.fn grqat)morie_geron_quantization_aware_training
Nearest-codebook-entry assignmentmorie_geron_quantize
Symmetric quantization kernel (morie.fn grq8 'quantize_symmetric')morie_geron_quantize_symmetric
Randomized search with K-fold CV (Geron Ch 2, morie.fn grrnd)morie_geron_randomized_search_cv
Recall TP/(TP+FN) (Geron Ch 3, morie.fn grrec)morie_geron_recall
Regression MLP output head (Geron Ch 10, morie.fn grmlr)morie_geron_regression_mlp_output
REINFORCE Monte Carlo policy gradient (Geron Ch 18, morie.fn grrein)morie_geron_reinforce_policy_gradient
Reparameterization trick (Geron Ch 17, morie.fn grrep)morie_geron_reparameterization_trick
Residual block (Geron Ch 14, morie.fn hmresn)morie_geron_resnet
Residual (skip) connection (Geron Ch 14, morie.fn grrsk)morie_geron_resnet_skip
Reverse-mode automatic differentiation (Geron Ch 12, morie.fn grrad)morie_geron_reverse_mode_autodiff
Ridge cost (Geron Ch 4, morie.fn hmridg)morie_geron_ridge_cost
Ridge cost (Geron Ch 4, morie.fn grridg)morie_geron_ridge_cost_grridg
Ridge by the augmented normal equation (Geron Ch 4, morie.fn hmridn)morie_geron_ridge_normal
Ridge closed form (Geron Ch 4, morie.fn grridn)morie_geron_ridge_normal_equation
RLHF reward minus KL objective (Geron Ch 15, morie.fn grrlhf)morie_geron_rlhf_reward_kl_objective
Root mean squared error (Geron Ch 2, morie.fn hmrms)morie_geron_rmse
Root mean squared error (Geron Ch 2, morie.fn grrmse)morie_geron_rmse_grrmse
RoBERTa pretraining with dynamic masking (Geron Ch 15, morie.fn hmbrob)morie_geron_roberta
ROC curve (Geron Ch 3, morie.fn grroc)morie_geron_roc_curve
Re-execute a traced graph, enforcing recorded shapes (ncol must match)morie_geron_run_graph
Soft actor-critic (SAC): entropy-regularized max rewardmorie_geron_sac
Save and load PyTorch model state_dict (RDS-native stand-in)morie_geron_save_load_pytorch
Scaled dot-product attentionmorie_geron_scaled_dot_product
Scaled dot-product attention (Geron Ch 16, morie.fn grsdpa)morie_geron_scaled_dot_product_attention
Denoising score matching loss (Geron Ch 18, morie.fn grscm)morie_geron_score_matching_loss
Self-attention, single head (Geron Ch 16, morie.fn grsa)morie_geron_self_attention
Self-attention: Q=K=V come from same inputmorie_geron_self_attention_modules
Self-supervised learning: generate labels from the data itself via pretext taskmorie_geron_self_supervised
SELU activation (Geron Ch 11, morie.fn hmselu)morie_geron_selu
Semantic segmentation: per-pixel class labelsmorie_geron_semantic_segmentation
Semi-supervised learning: small labeled set plus large unlabeled poolmorie_geron_semisupervised
Semi-supervised learning via k-means representative labelingmorie_geron_semisupervised_cluster
Squeeze-and-Excitation (SENet) block for channel recalibrationmorie_geron_senet
Squeeze-and-Excitation channel attention (Geron Ch 14, morie.fn grsen)morie_geron_senet_squeeze_excite
Sentiment analysis with RNN or transformer on tokensmorie_geron_sentiment_analysis
Binary sentiment head (Geron Ch 16, morie.fn grsnt)morie_geron_sentiment_binary
Depthwise separable convolution weight countmorie_geron_separable_params
Sequence-to-sequence encoder-decoder architecturemorie_geron_seq2seq
Supervised fine-tuning (SFT) on instruction-response pairsmorie_geron_sft
SFT masked cross-entropy objective (Geron Ch 15, morie.fn grsft)morie_geron_sft_objective
SGD classifier with hinge loss (linear SVM) trained by stochastic gradient descentmorie_geron_sgd_classifier
Single-sample SGD step (Geron Ch 4, morie.fn hmsgdu)morie_geron_sgd_update
Shannon entropy (Geron Eq 5-3, morie.fn grent)morie_geron_shannon_entropy
Logistic sigmoid (Geron Ch 4, morie.fn hmsigm)morie_geron_sigmoid
Logistic (sigmoid) activation (morie.fn grsig)morie_geron_sigmoid_grsig
Silhouette score for cluster qualitymorie_geron_silhouette
Silhouette score (Geron Ch 9, morie.fn grsil)morie_geron_silhouette_score
Simple imputation (Geron Ch 2, morie.fn grimp)morie_geron_simple_imputer
Simple RNN forward pass over a sequencemorie_geron_simple_rnn
Simple (Elman) RNN cell (Geron Ch 15, morie.fn grrnnc)morie_geron_simple_rnn_cell
Sinusoidal positional encoding (Geron Ch 16, morie.fn grpe)morie_geron_sinusoidal_positional_encoding
Soft voting ensemble (Geron Ch 7, morie.fn grvots)morie_geron_soft_voting
Softmax cross-entropy gradient (morie.fn grxeng)morie_geron_softmax_cost_gradient
Softmax cross-entropy cost (morie.fn grxent)morie_geron_softmax_cross_entropy_cost
Softmax (Geron Ch 4, morie.fn hmsftm)morie_geron_softmax_function
Softmax regression probabilities (morie.fn grsmxp)morie_geron_softmax_probability
Linear class scores for softmax regression (Geron Ch 4, morie.fn hmsfts)morie_geron_softmax_score
Softmax class scores (morie.fn grsmxs)morie_geron_softmax_score_grsmxs
T5 span-corruption masking (encoder input / decoder target / spans)morie_geron_span_corrupt
Sparse autoencoder objective (Geron Ch 17, morie.fn grsae)morie_geron_sparse_autoencoder
Sparse random projection matrix with {-1,0,+1} entriesmorie_geron_sparse_rand_projection
Spectral clustering: eigenvectors of graph Laplacianmorie_geron_spectral_clustering
Stacked (deep) autoencoder forward pass (morie.fn grstae)morie_geron_stacked_autoencoder
Stacked (deep) autoencoder with multiple encoding/decoding layersmorie_geron_stacked_autoencoder_modules
Stacking (blending): meta-learner combines outputs of base learnersmorie_geron_stacking
Stacking blender (Geron Ch 7, morie.fn grstk)morie_geron_stacking_predictor
Standardization / z-score (Geron Ch 2, morie.fn hmstz)morie_geron_standardization
Standardization (Geron Ch 2, morie.fn grstd)morie_geron_standardization_grstd
State value function V^pi (Geron Ch 18, morie.fn grvpi)morie_geron_state_value_function
Static post-training quantization (Geron Ch 19, morie.fn grptq)morie_geron_static_ptq
Stochastic gradient descent (Geron Ch 4, morie.fn grsgd)morie_geron_stochastic_gradient_descent
Stratified sampling preserves class/strata proportions in each splitmorie_geron_stratified_sampling
Stride: step size of kernel sliding over inputmorie_geron_stride
Supervised learning paradigm: learn mapping f(x)->y from labeled examplesmorie_geron_supervised_learning
OLS via SVD pseudoinverse (robust to singular X^T X)morie_geron_svd_pseudoinverse
Swin Transformer: shifted-window attentionmorie_geron_swin
Swin windowed self-attention (morie.fn grswin)morie_geron_swin_window_attention
Swish / SiLU activation (Geron Ch 11, morie.fn hmswi)morie_geron_swish
Symbolic differentiation: manipulate algebraic expressions analyticallymorie_geron_symbolic_diff
Symbolic differentiation (Geron Ch 12, morie.fn grsmd)morie_geron_symbolic_differentiation
Evaluate a parsed tree against an environment (no eval/parse of R code)morie_geron_symd_evaluate
Parse an arithmetic expression string into an R treemorie_geron_symd_parse
Render a parsed tree back to infix sourcemorie_geron_symd_to_string
T5: text-to-text transfer transformer (encoder-decoder)morie_geron_t5
Rebuild the original sequence from a T5-corrupted input and its targetmorie_geron_t5_restore
Hyperbolic tangent activation (Geron Ch 10, morie.fn hmtanh)morie_geron_tanh
Hyperbolic tangent activation (morie.fn grtnh)morie_geron_tanh_activation
TD(0) value update (Geron Ch 18, morie.fn hmtd)morie_geron_td_learning
TD(0) value update (Geron Ch 18, morie.fn grtd0)morie_geron_td_zero_update
Twin delayed DDPG (TD3): two critics + delayed policy updatesmorie_geron_td3
Temperature-scaled softmax (Geron Ch 16, morie.fn grtmp)morie_geron_temperature_sampling
Tensor parallelism: split individual tensors across devicesmorie_geron_tensor_parallelism
Threshold logic unit (Geron Ch 10, morie.fn grtlu)morie_geron_threshold_logic_unit
Time series forecasting with a fixed-width lag windowmorie_geron_time_series_forecast
Threshold logic unit (Geron Ch 10, morie.fn hmtlu)morie_geron_tlu
Top-k truncated sampling distribution (morie.fn grtop)morie_geron_topk_sampling
torch.compile: graph-capturing JIT for forward and backward passesmorie_geron_torch_compile
TorchScript: statically-typed graph representation of PyTorch modelsmorie_geron_torchscript
Trace a typed graph by running model ops on example_inputs oncemorie_geron_trace
Batch-GD logistic fit used by the OvR / OvO reductions (morie.fn grovr)morie_geron_train_logreg
Transfer learning: reuse pretrained model, fine-tune on new taskmorie_geron_transfer_learning
Transformer architecture (Vaswani et al. 2017)morie_geron_transformer
Transformer decoder block, post-norm (Geron Ch 16, morie.fn grtdb)morie_geron_transformer_decoder_block
Transformer encoder block, post-norm (Geron Ch 16, morie.fn grteb)morie_geron_transformer_encoder_block
Transformer position-wise feed-forward (Geron Ch 16, morie.fn grffn)morie_geron_transformer_feedforward
Classification tree leaf (Geron Ch 6, morie.fn grtrc)morie_geron_tree_classification_leaf
Decision-tree variance via bootstrap resampling of CART trees (hmdthv)morie_geron_tree_high_variance
Regression tree leaf (Geron Ch 6, morie.fn grtrv)morie_geron_tree_regression_leaf
Tree regularization: constrained vs unconstrained CART (hmdtr)morie_geron_tree_regularization
Decision-tree scale invariance: CART thresholds under x' = a*x + b (hmdtst)morie_geron_tree_sensitivity_scale
Fine-tuning via TRL (Transformer Reinforcement Learning) librarymorie_geron_trl_finetune
t-SNE: KL divergence between joint probabilities in high- and low-dimmorie_geron_tsne
UMAP: uniform manifold approximation, preserves local and some global structuremorie_geron_umap
Underfitting diagnosis (Geron Ch 4, morie.fn hmuf)morie_geron_underfitting
Unsupervised learning: discover structure from unlabeled datamorie_geron_unsupervised_learning
Unsupervised pretraining: learn representation via reconstruction before labelsmorie_geron_unsupervised_pretraining
Variational autoencoder with latent Gaussian priormorie_geron_vae
VAE evidence lower bound (Geron Ch 17, morie.fn grvae)morie_geron_vae_elbo
ELBO loss and exact gradients for fixed reparameterisation noisemorie_geron_vae_loss_and_grads
State value function by exact policy evaluation (Geron Ch 18, morie.fn hmvf)morie_geron_value_function
Value iteration on the Bellman optimality operator (Geron Ch 19, hmbel)morie_geron_value_iteration
Vanishing gradients: small gradients shrink through many layersmorie_geron_vanishing_gradients
Bayesian Gaussian mixture with variational inference (VBGMM)morie_geron_variational_bayes_gmm
VideoBERT: transformer on discretized video tokens + textmorie_geron_videobert
ViLBERT: dual-stream vision-language transformermorie_geron_vilbert
Vision Transformer (ViT): transformer on image patchesmorie_geron_vision_transformer
ViT patch embedding (Geron Ch 17, morie.fn grvit)morie_geron_vit_patch_embedding
Hard voting ensemble (Geron Ch 7, morie.fn hmvth)morie_geron_voting_hard
Discrete VAE (VQ-VAE): vector-quantized latents with codebookmorie_geron_vq_vae
Warm restarts: cosine decay with periodic restarts (SGDR)morie_geron_warm_restarts
Magnitude-based unstructured pruning (Geron Ch 19, morie.fn grprn)morie_geron_weight_pruning
Word embeddings: dense vector representations learned per tokenmorie_geron_word_embeddings
WordPiece tokenizer: maximum likelihood subword segmentationmorie_geron_wordpiece_tokenizer
WordPiece merge score (Geron Ch 16, morie.fn grwpc)morie_geron_wordpiece_tokenizer_score
Xception: extreme inception using depthwise separable convolutionsmorie_geron_xception
XGBoost: regularized gradient boosting with second-order Taylor approximationmorie_geron_xgboost
XGBoost regularized split gain (Geron Ch 7, morie.fn grxgbg)morie_geron_xgboost_gain
XLNet: permutation-based autoregressive pretrainingmorie_geron_xlnet
YOLO: single-shot object detection via grid regressionmorie_geron_yolo
YOLO grid loss (Geron Ch 14, morie.fn gryol)morie_geron_yolo_grid_loss
Zero-shot learning: LLM generalizes to unseen tasks from prompt onlymorie_geron_zero_shot
Laplace exponent of a gamma completely random measuremorie_gh_crm_laplace_gamma
First two moments of a Dirichlet distribution for a pair of cellsmorie_gh_dirichlet_moments
Discrete hazard rates of a probability vectormorie_gh_discrete_hazard
Distribution function of the median of a Dirichlet processmorie_gh_dp_median_cdf
Mean and variance of the number of distinct values in a DP samplemorie_gh_dp_ndistinct
Dirichlet-process posterior for the mass of a single setmorie_gh_dp_posterior
Polya-urn predictive weights of a Dirichlet processmorie_gh_dp_predictive
Stick-breaking truncation level for a given residual tolerancemorie_gh_eps_dp_size
Log Ewens sampling formula for a partition given by multiplicitiesmorie_gh_ewens_log
Half the squared Hellinger distance between two discrete distributionsmorie_gh_hellinger2
Expected number of features in an Indian buffet processmorie_gh_ibp_expected_dishes
Kullback-Leibler divergence between two discrete distributionsmorie_gh_kl
Laplace transform of a discretised completely random measuremorie_gh_ncrm_laplace
Leading binary-expansion bits of a point in the unit intervalmorie_gh_pt_bits
Polya-tree posterior density at a pointmorie_gh_pt_posterior_density
Log exchangeable partition probability function of a Pitman-Yor processmorie_gh_py_eppf_log
Renyi divergence of order alpha between two discrete distributionsmorie_gh_renyi
Stick-breaking weights from a vector of beta sticksmorie_gh_stick_breaking
Conjugate posterior for one white-noise (normal mean) coordinatemorie_gh_wn_posterior
Adaptive contraction rates over a smoothness gridmorie_ghosal_adaptation
BvM diagnostic for the mean functional under a DP priormorie_ghosal_bernstein_von_mises
Minimax posterior-contraction ratemorie_ghosal_contraction_rate
Dirichlet-process posterior (conjugate update)morie_ghosal_dirichlet_posterior
DP mixture density estimate (Neal 2000 algorithm 3)morie_ghosal_dpmixture_density
Empirical-Bayes alpha MLE for a DP, given the observed K_nmorie_ghosal_empirical_bayes
GP posterior mean with Matern kernelmorie_ghosal_gp_matern
GP posterior mean with squared-exponential kernelmorie_ghosal_gp_squared_exponential
Escobar-West augmentation for alpha given K_n with a Gamma(a, b) hyperpriormorie_ghosal_hierarchical_bayes
Log-spline density estimator (Stone 1990, Ghosal Ch 8)morie_ghosal_log_density
Posterior mean / variance of G(A) for DP(alpha, G0) and A = (A_lower, A_upper]morie_ghosal_moment_matching
Neutral-to-the-right posterior survival (Doksum 1974)morie_ghosal_neutral_right
Probit-GP classifier (Laplace approximation)morie_ghosal_np_classification
GP nonparametric regressionmorie_ghosal_np_regression
Polya-tree Bayes factor for H0: F = N(loc, scale^2)morie_ghosal_np_testing
Schwartz posterior-consistency diagnostic (Bayesian bootstrap)morie_ghosal_posterior_consistency
Bernstein-polynomial sieve density estimator (Petrone 1999)morie_ghosal_sieve_prior
Truncated stick-breaking representation of DP(alpha, G0)morie_ghosal_stick_breaking_trunc
Beta-process posterior survival (Hjort 1990)morie_ghosal_survival_beta_process
Haar-wavelet spike-and-slab BayesThresh estimator (Abramovich 1998)morie_ghosal_wavelet_prior
Gini's gamma from a copulamorie_gini_gamma
Gaussian log likelihood in sufficient statistics (eq. 24.5-24.6, p. 319)morie_gllsuff
Native negative-binomial GLM (reproduces MASS::glm.nb)morie_glm_nb
Generalized linear mixed model by the Laplace approximation (native)morie_glmm
Page likelihood-ratio CUSUM (Lai 1995, eq. 2.3)morie_glrtest
Generalised-moments estimator for the spatial error modelmorie_gm_error_sar
Log density of a multivariate normal at every row of X (hmgmm)morie_gmm_log_pdf
Least monochromatic triangles in any two-colouring of K_nmorie_goodman_minimum
Monochromatic triangles by Goodman's identitymorie_goodman_triangles
Gaussian-process density contraction ratemorie_gp_density_rate
Vector of SPDX identifiers recognised as GPL-compatiblemorie_gpl_compatible_licenses
Forward-mode autodiff dual number (morie.fn grfad 'Dual')morie_gr_dual
Gradient boosting ensemble (R parity)morie_gradient_boosting_ensemble
Gradient-boosting genomic predictor (Friedman 2001)morie_gradient_boosting_genomic
Gradient-descent parameter updatemorie_gradient_descent_update
Vanilla batch gradient descent for OLS (R parity)morie_gradient_descent_vanilla
Granger causality F-testmorie_granger_test
The cycle matroid of a graphmorie_graphic_matroid
The greedy algorithm on an independence systemmorie_greedy_independent_set
Generalised regression (GREG) estimatormorie_greg
GREG variance estimators and g-weightsmorie_greg_variance
Grid search with cross-validation (R parity)morie_grid_search_cv
VanRaden Genomic Relationship Matrixmorie_grm_vanraden
Group-time average treatment effects ATT(g, t)morie_grouptimeatt
Graphormer centrality encodingmorie_grphmr_centrality
Edge-feature bias averaged along the shortest pathmorie_grphmr_edge
All-pairs shortest path distancesmorie_grphmr_sp
Spatial bias from the shortest-path distance matrixmorie_grphmr_spatial
BPR ranking lossmorie_gru4r_bpr
One GRU update (single layer)morie_gru4r_gru
Mean reciprocal rank at kmorie_gru4r_mrr
Recall at kmorie_gru4r_recall
TOP1 ranking lossmorie_gru4r_top1
One GraphSAGE layermorie_gsageemd_layer
Unsupervised graph-based lossmorie_gsageemd_loss
Fixed-size neighbour samplemorie_gsageemd_sample
Front-to-back alpha compositingmorie_gsplat_composite
Build the 3D covariance as Sigma = R S S' R'morie_gsplat_covariance
Adaptive density controlmorie_gsplat_density
EWA projection of the 3D covariancemorie_gsplat_project
Positive semi-definiteness checkmorie_gsplat_psd
Neighbourhood-restricted attentionmorie_gtrf_attention
Laplacian positional encodingmorie_gtrf_lap_pe
Graph Laplacianmorie_gtrf_laplacian
Graph transformer layermorie_gtrf_layer
Random sign flipmorie_gtrf_sign_flip
IBS relatedness matrixmorie_gwasem_kinship_ibs
Two-way GxE ANOVA with EMS variance componentsmorie_gxe_interaction_model
Hajek ratio estimator of a population meanmorie_hajek_mean
Hall's marriage theoremmorie_hall_condition
The Hamming sphere-packing boundmorie_hamming_bound
Gabriel et al. (2002) haplotype blocksmorie_hapblk
The happy ending problemmorie_happy_ending_quadrilateral
Hardy-Ramanujan asymptotics for the partition functionmorie_hardy_ramanujan_partitions
Robust measures of locationmorie_harrell_davis morie_mom_estimator morie_one_step_m morie_pbos
Are an example's prerequisites available?morie_has
Does the graph contain a clique on k vertices?morie_has_clique
morie_hawkes_baseline_integral_cppmorie_hawkes_baseline_integral_cpp
Fit a Hawkes (self-exciting point process) model by maximum likelihoodmorie_hawkes_fit
morie_hawkes_kernel_cdf_cppmorie_hawkes_kernel_cdf_cpp
morie_hawkes_kernel_density_cppmorie_hawkes_kernel_density_cpp
morie_hawkes_ll_exp_const_cppmorie_hawkes_ll_exp_const_cpp
morie_hawkes_ll_gamma_const_cppmorie_hawkes_ll_gamma_const_cpp
morie_hawkes_ll_lomax_const_cppmorie_hawkes_ll_lomax_const_cpp
morie_hawkes_ll_weibull_const_cppmorie_hawkes_ll_weibull_const_cpp
morie_hawkes_pair_excitation_sum_cppmorie_hawkes_pair_excitation_sum_cpp
Fit a spatiotemporal Hawkes process by maximum likelihoodmorie_hawkes_st_fit
Conditional intensity of a spatiotemporal Hawkes process at a query pointmorie_hawkes_st_intensity
Log-likelihood of a spatiotemporal Hawkes processmorie_hawkes_st_loglik
Simulate a spatiotemporal Hawkes process (immigrant-offspring branching)morie_hawkes_st_simulate
Built-in selection in period-by-period hazard ratiosmorie_hazard_selection
HBOS - histogram-based outlier scoremorie_hbos
HDBSCAN* flat clustering by excess-of-mass stability extractionmorie_hdbsc
Hedges' g (bias-corrected Cohen's d)morie_hedges_g
Helly's theorem on the linemorie_helly_intervals
Heteroskedastic IRT scales given ideal points (Lauderdale 2010)morie_heteroskedastic_scales
HITS hubs and authoritiesmorie_hits
Multilevel variance components, ICC and likelihood-ratio testmorie_hlm_components
HLM T (tau) matrix by method of moments, with EB shrinkagemorie_hlmgr
HMAC (digest's hmac, natively)morie_hmac
Hockey-stick identitymorie_hockey_stick
Holt's linear trend exponential smoothingmorie_holt_linear
Holt-Winters seasonal exponential smoothingmorie_holt_winters
Holt-Winters with additive seasonalitymorie_holt_winters_additive
Holt-Winters with multiplicative seasonalitymorie_holt_winters_mult
Hook length of every cell of a Young diagrammorie_hook_lengths
Horvitz-Thompson estimator of a population totalmorie_horvitz_thompson
Curated datasets at data.rmorie.commorie_hosted_datasets morie_hosted_manifest morie_load_hosted_dataset
HOT SAX discord discoverymorie_hot
Empirical-Bayes shrinkage of hot-spot counts: the expected size of the fallmorie_hotspot_shrinkage
Hot-spot threshold of the Short-Brantingham reaction-diffusion modelmorie_hotspot_threshold
Hilbert-Schmidt Independence Criterionmorie_hsic
Hilbert-Schmidt independence criterion for an ANM residual testmorie_hsicstat
Basu's elephant: the Horvitz-Thompson total is unbiased with exploding variancemorie_ht_elephant
Horvitz-Thompson estimators of the total and meanmorie_ht_estimators
Best-linear-predictor test for treatment-effect heterogeneitymorie_hte_blp_test
Hurst exponent via rescaled-range (R/S) analysismorie_hurst_r
Hypergeometric pmf and its binomial limitmorie_hypergeometric_dist
Pairwise IBD matrix (PLINK method of moments)morie_ibdmtx
Intracluster correlation and Kish's design effectmorie_icc_rho
Ichimura semiparametric least squaresmorie_ichimura
Ideal fourths and the interquartile rangemorie_idealf_iqr morie_ideal_fourths
Model, identify, estimate, refutemorie_identify_estimate_refute
Integrated haplotype score (iHS)morie_ihstst
IMPALA V-trace off-policy targetsmorie_impala_vtrace
Impute missing values in a columnmorie_impute_column
Impute untreated potential outcomesmorie_impute_untreated
Incapacitation arithmetic: crime rate, prevented share and the marginal yearmorie_incapacitation
Incapacitation under desistance and replacementmorie_incapacitation_career
GoogLeNet/Inception parameter count, module by module (hmgoog)morie_inception_module
Verify a block design directly from its blocksmorie_incidence_check
Native general independence permutation testmorie_indep_test
Single-index kernel regressionmorie_index_regression
Product-of-coefficients indirect effect with the Sobel standard errormorie_indirect_effect_sobel
Infer the measurement level of a vectormorie_infer_measurement_level
Citation network edges from A2AJ case recordsmorie_ingest_a2aj_citation_edges
A2AJ corpus coveragemorie_ingest_a2aj_coverage
Download one A2AJ dataset's Parquet filemorie_ingest_a2aj_download
Fetch one A2AJ document by citationmorie_ingest_a2aj_fetch
Courts and tribunals the A2AJ corpus does not carrymorie_ingest_a2aj_gaps
Load one A2AJ dataset as a data.framemorie_ingest_a2aj_load
Search A2AJ case law or legislationmorie_ingest_a2aj_search
Parquet URL of one A2AJ datasetmorie_ingest_a2aj_url
Build a parameter-safe BigQuery SELECTmorie_ingest_bigquery_build_sql
Execute a BigQuery SQL query and return a data.framemorie_ingest_bigquery_query
Pull a BigQuery table (or filtered slice) into a data.framemorie_ingest_bigquery_table
Metadata of one CanLII decisionmorie_ingest_canlii_case
CanLII identifiers from a neutral citationmorie_ingest_canlii_case_id
Decisions of one CanLII databasemorie_ingest_canlii_cases
Citation network of one CanLII decisionmorie_ingest_canlii_citator
CanLII case-law databasesmorie_ingest_canlii_databases
Metadata of one CanLII statute or regulationmorie_ingest_canlii_legislation
CanLII legislation databasesmorie_ingest_canlii_legislation_databases
Statutes or regulations of one CanLII legislation databasemorie_ingest_canlii_legislations
Pull the City of Chicago "Crimes - 2001 to Present" feedmorie_ingest_chicago_crime
BigQuery mirror of the Chicago crime feedmorie_ingest_chicago_crime_bigquery
Built-in Chicago / Socrata resource registrymorie_ingest_chicago_resources
Fetch every row from a Socrata SoDA JSON endpointmorie_ingest_chicago_socrata
Download a CIHI indicator .xlsx data tablemorie_ingest_cihi_xlsx
Fetch every CSV / TSV resource in a CKAN packagemorie_ingest_ckan_fetch_package_csvs
Search a CKAN portal for packages (raw)morie_ingest_ckan_package_search
Fetch one CKAN package's metadatamorie_ingest_ckan_package_show
Download a CKAN resource as a data.framemorie_ingest_ckan_read_resource
Fetch one CKAN resource's metadatamorie_ingest_ckan_resource_show
Search a CKAN portal and return a flat metadata data.framemorie_ingest_ckan_search_packages
Pull NamUs missing-persons case metadatamorie_ingest_forensics_namus_missing
Pull FBI NIBRS offence-event records via Crime Data Explorermorie_ingest_forensics_nibrs
Pull NIST Reference Datasets (RDS) catalog metadatamorie_ingest_forensics_nist_rds
Fetch a Statistics Canada NDM / cansim tablemorie_ingest_statcan_cansim
Download a StatCan PUMF / CSV productmorie_ingest_statcan_csv
Fetch StatCan series by vector ID (keyless WDS, latest-N periods)morie_ingest_statcan_vectors
Fetch every feature from a TPS ArcGIS FeatureServer layermorie_ingest_tps_feature_layer
Fetch a TPS open-data layer by short namemorie_ingest_tps_fetch
Built-in TPS open-data layer registrymorie_ingest_tps_layers
Inspect a serialised analysis output (JSON, CSV, or RDS)morie_inspect_output
The criminal-citizen-inspector game cyclesmorie_inspection_game
Install morie's optional dependencies (interactive helper)morie_install_extras
Instrument relevance and exogeneity diagnosticsmorie_instrument_check
Pearl's instrumental inequality on a finite tablemorie_instrumental_inequality
Interracial offending rates against the random-mixing nullmorie_interracial_rates
Interventional (randomised-mediator) direct and indirect effectsmorie_interventional_effects
Compare nested measurement-invariance modelsmorie_invariance_compare
Fit a two-parameter logistic (2PL) IRT modelmorie_irt_2pl
EAP ability scores for new respondents under a fitted 2PL modelmorie_irt_eap
Fit Samejima's graded response model (GRM)morie_irt_grm
Marginal reliability of an item response theory scalemorie_irt_marginal_reliability
Standard error of an item response theory scoremorie_irt_theta_se
Does Z satisfy Pearl's back-door criterion?morie_is_backdoor_admissible
Is every symbol used once in each row and each column?morie_is_latin_square
Check the two matroid axioms directlymorie_is_matroid
Test whether an eBAC exceeds a legal driving limitmorie_is_over_legal_limit
Isolation forestmorie_isolation_forest
iTransformer: variates as tokens, attention across variatesmorie_itrans
Interrupted time-series analysis (segmented regression)morie_its
Two-stage least squares with a weak-instrument refusal gatemorie_iv_2sls
Anderson-Rubin (AR) weak-IV-robust testmorie_iv_anderson_rubin
Grid-based Anderson-Rubin confidence interval for a single endogenous variablemorie_iv_anderson_rubin_ci
Conditional likelihood-ratio (CLR) test of Moreira (2003)morie_iv_conditional_lr
Cragg-Donald weak-instrument F statisticmorie_iv_cragg_donald
Continuously-Updated GMM (CUE-GMM)morie_iv_cue_gmm
Composite IV diagnosticsmorie_iv_diagnostics
Durbin-Wu-Hausman test of endogeneitymorie_iv_durbin_wu_hausman
First-stage F-statistics and partial R^2morie_iv_first_stage_diagnostics
Generalised Method of Moments (GMM) IVmorie_iv_gmm
Hansen J test of overidentifying restrictions (robust)morie_iv_hansen_j
Hausman test: OLS vs 2SLSmorie_iv_hausman
Jackknife IV (JIVE; Angrist, Imbens & Krueger 1999)morie_iv_jive
Kleibergen-Paap rk statistic and rk Wald F for weak identificationmorie_iv_kleibergen_paap
Limited-Information Maximum Likelihood (LIML)morie_iv_liml
Montiel Olea-Pflueger effective F test for weak instrumentsmorie_iv_montiel_olea_pflueger
Instrumental-variable natural boundsmorie_iv_natural_bounds
Panel IV with unit (and optional time) fixed effects via within-transformmorie_iv_panel
IV Probit (Rivers-Vuong control function)morie_iv_probit
IV residual analysismorie_iv_residual_analysis
Sargan test of overidentifying restrictions (homoskedastic)morie_iv_sargan
Split-sample IVmorie_iv_split_sample
Stock-Yogo critical values (TSLS maximal size, one endogenous regressor)morie_iv_stock_yogo
Two-Stage Least Squares (2SLS)morie_iv_tsls
Wald (single-instrument) estimatormorie_iv_wald
Delete-1 jackknife variance estimatemorie_jackknife_estimate
Jacquez k-nearest-neighbour test for space-time interactionmorie_jacquez_knn
Joinpoint regression for survival hazard trendsmorie_jnpnt
Johansen trace test for cointegrationmorie_johansen_cointegration
Joint convergence of parameter and nuisancemorie_joint_convergence
Croston with demand classificationmorie_joseph_croston_intermittent
MinT / OLS / WLS forecast reconciliationmorie_joseph_mint_reconciliation
Naive and seasonal-naive forecastmorie_joseph_naive_forecast
Simple exponential smoothingmorie_joseph_simple_exponential_smoothing
Rolling-median outlier detection for a time seriesmorie_joseph_ts_outlier_detection
Serialize an R object to JSON natively (pure R)morie_json_stringify
Base64 decode to a raw vectormorie_jsonlt_base64url_dec morie_jsonlt_base64_dec
Base64 encode a raw vector or character stringmorie_jsonlt_base64url_enc morie_jsonlt_base64_enc
Row-bind a list of data.frames with differing columns (jsonlite's rbind_pages)morie_jsonlt_rbind_pages
Read and write JSON filesmorie_jsonlt_read_json morie_jsonlt_write_json
Stream newline-delimited JSON (jsonlite's stream_in / stream_out)morie_jsonlt_stream_in morie_jsonlt_stream_out
Validate JSON textmorie_jsonlt_validate
Judge-leniency instrument on observed data: Wald ratio, compliers and the defier sensitivitymorie_judge_iv
Judge-leniency instrument on a known population: the exact decompositionmorie_judge_iv_population
Monotonicity of judges without outcomes: do the leniency rankings hold in every subgroup?morie_judge_monotonicity
The many-judge slope test of monotonicitymorie_judge_slope_test
Kalman filter predict-update for a linear-Gaussian state-space modelmorie_kalman_filter
3H alignment score (Kamath Ch 5)morie_kamath_3h_alignment
AdaLoRA SVD update with importance-based pruning (Kamath Ch 4)morie_kamath_adalora_rank_allocation
ALiBi biased attention (Kamath Ch 2)morie_kamath_alibi_bias
AutoPrompt trigger search (Kamath Ch 3)morie_kamath_autoprompt_gradient_search
BERTScore end to end (Kamath Ch 8)morie_kamath_bertscore
Best-of-N sampling (Kamath Ch 5)morie_kamath_best_of_n_sampling
Corpus-level BLEU (Kamath Ch 8)morie_kamath_bleu_score
BM25 relevance score (Kamath Ch 7)morie_kamath_bm25_score
Bradley-Terry preference probability, vectorised (Kamath Ch 5)morie_kamath_bradley_terry_preference
Round-trip back-translation prompt score (Kamath Eq 3.9)morie_kamath_ch3_back_translation_prob
Cloze knowledge probe (Kamath Eq 3.4)morie_kamath_ch3_dante_cloze
Ch 3 prompt templates (Kamath Eq 3.5-3.7)morie_kamath_ch3_cloze_prompt_template morie_kamath_ch3_prefix_prompt_template morie_kamath_ch3_translate_prefix_prompt
Prefix-tuning objective (Kamath Eq 3.12)morie_kamath_ch3_prefix_tuning_obj
Prompt-based classification through a label word map (Kamath Eq 3.1)morie_kamath_ch3_prompt_label_mapping
Answer search over filled prompts (Kamath Eq 3.3)morie_kamath_ch3_prompt_search_argmax
Label-word softmax (Kamath Eq 3.2)morie_kamath_ch3_prompt_softmax_label
Adversarial-trigger QA prompt (Kamath Eq 3.10)morie_kamath_ch3_qa_trigger_template
T5 template generation objective (Kamath Eq 3.11)morie_kamath_ch3_t5_template_obj
Top-1 prompt selection accuracy (Kamath Eq 3.8)morie_kamath_ch3_top1_prompt_metric
Fine-tuning objectives (Kamath Eq 4.3-4.4)morie_kamath_ch4_full_finetune_obj morie_kamath_ch4_lora_obj
KronA matrix-free product (Kamath Eq 4.7)morie_kamath_ch4_krona_efficient
KronA layer output and merged weights (Kamath Eq 4.8-4.9)morie_kamath_ch4_krona_output morie_kamath_ch4_krona_tuned_weights
Kronecker product (Kamath Eq 4.6)morie_kamath_ch4_kronecker_product
LoftQ Frobenius objective (Kamath Eq 4.11)morie_kamath_ch4_loftq_objective
LoRA forward pass (Kamath Eq 4.5)morie_kamath_ch4_lora_forward
Bottleneck adapters (Kamath Eq 4.1-4.2)morie_kamath_ch4_parallel_adapter morie_kamath_ch4_series_adapter
VeRA forward pass (Kamath Eq 4.10)morie_kamath_ch4_vera_forward
Bradley-Terry preference probability (Kamath Eq 5.8-5.9)morie_kamath_ch5_bradley_terry_pref morie_kamath_ch5_pref_sigmoid_form
DPO loss (Kamath Eq 5.12)morie_kamath_ch5_dpo_loss
DPO preference probability (Kamath Eq 5.10-5.11)morie_kamath_ch5_dpo_pref_simplified morie_kamath_ch5_dpo_pref_substituted
Reward implied by an optimal policy (Kamath Eq 5.7)morie_kamath_ch5_dpo_reward_optimal
KL-penalised RLHF reward (Kamath Eq 5.2)morie_kamath_ch5_reward_kl_penalty
Pairwise reward-model losses (Kamath Eq 5.1, 5.3)morie_kamath_ch5_reward_loss_pairwise morie_kamath_ch5_rm_bradley_terry
RLHF objective and PPO loss (Kamath Eq 5.4-5.5)morie_kamath_ch5_ppo_loss morie_kamath_ch5_rlhf_objective
Optimal KL-regularised policy (Kamath Eq 5.6)morie_kamath_ch5_rlhf_optimal_policy
AlignScore alignment function (Kamath Eq 6.2)morie_kamath_ch6_alignment_function
AlignScore joint loss (Kamath Eq 6.3)morie_kamath_ch6_alignscore_total_loss
Context Association Test score (Kamath Eq 6.12)morie_kamath_ch6_cat_metric
Categorical Bias Score (Kamath Eq 6.9)morie_kamath_ch6_cbs_variance
CEAT random-effects pooled WEAT (Kamath Eq 6.7)morie_kamath_ch6_ceat_random_effects
Co-Occurrence Bias Score (Kamath Eq 6.14)morie_kamath_ch6_co_occurrence_bias
Counterfactual-pair debiasing and the gender direction (Eq 6.18-6.19)morie_kamath_ch6_debias_regularizer morie_kamath_ch6_gender_direction
Demographic representation and stereotypical association (Eq 6.15-6.16)morie_kamath_ch6_demographic_representation morie_kamath_ch6_stereotypical_assoc
Differential privacy check (Kamath Eq 6.32)morie_kamath_ch6_differential_privacy
Entropy-based attention regularisation (Kamath Eq 6.21)morie_kamath_ch6_ear_entropy_reg
Toxicity metrics (Kamath Eq 6.23-6.25)morie_kamath_ch6_emt_metric morie_kamath_ch6_toxicity_probability morie_kamath_ch6_toxic_fraction
FActScore (Kamath Eq 6.1)morie_kamath_ch6_factscore
GeDi combined loss (Kamath Eq 6.29)morie_kamath_ch6_gedi_combined_loss
Gender-projection regulariser (Kamath Eq 6.20)morie_kamath_ch6_gender_projection_reg
HONEST score (Kamath Eq 6.17)morie_kamath_ch6_honest_score
Equalising log-probability-ratio regulariser (Kamath Eq 6.22)morie_kamath_ch6_log_prob_ratio_attr
Log-Probability Bias Score (Kamath Eq 6.8)morie_kamath_ch6_lpbs_bias
Chain-rule sequence probability (Kamath Eq 6.26)morie_kamath_ch6_lstm_chain_rule
LSTM vocabulary softmax and Affect-LM (Kamath Eq 6.27-6.28)morie_kamath_ch6_affect_lm morie_kamath_ch6_lstm_softmax_word
Worst-case perplexity leakage (Kamath Eq 6.33)morie_kamath_ch6_perplexity_leakage
ProPILE PII likelihood (Kamath Eq 6.31)morie_kamath_ch6_pii_likelihood
Pseudo-log-likelihood and CrowS-Pairs (Kamath Eq 6.10-6.11)morie_kamath_ch6_cps_metric morie_kamath_ch6_pll
Self-diagnosis probability (Kamath Eq 6.30)morie_kamath_ch6_self_diagnosis_prob
Social Group Substitution invariance (Kamath Eq 6.13)morie_kamath_ch6_sgs_invariance
WEAT effect size (Kamath Eq 6.6)morie_kamath_ch6_weat_effect_size
WEAT test statistic (Kamath Eq 6.4)morie_kamath_ch6_weat_function
WEAT differential association (Kamath Eq 6.5)morie_kamath_ch6_weat_similarity
RAGAS answer relevance (Kamath Eq 7.3)morie_kamath_ch7_answer_relevance
RAG faithfulness (Kamath Eq 7.2)morie_kamath_ch7_faithfulness_metric
BERTScore recall, precision and F1 (Kamath Eq 8.7-8.9)morie_kamath_ch8_bertscore_f1 morie_kamath_ch8_bertscore_precision morie_kamath_ch8_bertscore_recall
BLEU geometric mean and final score (Kamath Eq 8.3, 8.5)morie_kamath_ch8_bleu_final morie_kamath_ch8_bleu_n_geom_mean
BLEU clipped n-gram precision (Kamath Eq 8.2)morie_kamath_ch8_bleu_precision
BLEU brevity penalty (Kamath Eq 8.4)morie_kamath_ch8_brevity_penalty
G-Eval probability-weighted score (Kamath Eq 8.15)morie_kamath_ch8_geval_score
MoverScore n-gram distance and Sentence Mover's Distance (Eq 8.11, 8.14)morie_kamath_ch8_moverscore_distance morie_kamath_ch8_smd
MoverScore n-gram embedding (Kamath Eq 8.12)morie_kamath_ch8_ngram_embedding
MoverScore n-gram weight (Kamath Eq 8.13)morie_kamath_ch8_ngram_weight
Unbiased pass@k (Kamath Eq 8.16)morie_kamath_ch8_pass_at_k morie_kamath_pass_at_k
Perplexity from token probabilities (Kamath Eq 8.1)morie_kamath_ch8_perplexity
ROUGE-N recall over multiple references (Kamath Eq 8.6)morie_kamath_ch8_rouge_n
Word Mover's Distance as an exact transport LP (Kamath Eq 8.10)morie_kamath_ch8_wmd
CLIP contrastive losses (Kamath Eq 9.5-9.7)morie_kamath_ch9_clip_contrastive_total morie_kamath_ch9_clip_image_to_text morie_kamath_ch9_clip_text_to_image
Flamingo factorized likelihood and dataset mix (Kamath Eq 9.21-9.22)morie_kamath_ch9_flamingo_dataset_mix morie_kamath_ch9_flamingo_factorized
Frame order modelling loss (Kamath Eq 9.15)morie_kamath_ch9_fom_loss
Input-alignment text-generation objective (Kamath Eq 9.2)morie_kamath_ch9_input_alignment_loss
Input and output projectors (Kamath Eq 9.3, 9.19)morie_kamath_ch9_input_projector morie_kamath_ch9_output_alignment
Image-text matching binary loss (Kamath Eq 9.13)morie_kamath_ch9_itm_loss
Conditional LDM noise-prediction loss (Kamath Eq 9.20)morie_kamath_ch9_ldm_loss
LLM text and signal tokens (Kamath Eq 9.4)morie_kamath_ch9_llm_signal_tokens
Multimodal instruction-tuned prediction (Kamath Eq 9.16)morie_kamath_ch9_mm_instr_predict
Visual-linguistic matching losses (Kamath Eq 9.8-9.9)morie_kamath_ch9_itm_hard_negative morie_kamath_ch9_mml_vlm_loss
Autoregressive response losses (Kamath Eq 9.14, 9.17)morie_kamath_ch9_itg_loss morie_kamath_ch9_mmllm_autoregressive
Masked object classification loss (Kamath Eq 9.12)morie_kamath_ch9_moc_loss
Modality encoder (Kamath Eq 9.1)morie_kamath_ch9_modality_encoder
Output-projector MSE objective (Kamath Eq 9.18)morie_kamath_ch9_output_projector_mse
SimVLM masked-token loss with visual conditioning (Kamath Eq 9.10)morie_kamath_ch9_simvlm_mlm
PrefixLM suffix negative log-likelihood (Kamath Eq 9.11)morie_kamath_ch9_simvlm_prefixlm
Zero-shot chain-of-thought prompting (Kamath Ch 4)morie_kamath_chain_of_thought
Chinchilla compute-optimal split (Kamath Ch 1)morie_kamath_chinchilla_compute_optimal
Preference-based reward learning (Kamath Ch 5)morie_kamath_christiano_deep_rl_feedback
Constitutional AI critique-revise loop (Kamath Ch 5)morie_kamath_constitutional_ai_loop
Corrective RAG retrieval router (Kamath Ch 7)morie_kamath_corrective_rag
Cross-encoder re-ranking (Kamath Ch 7)morie_kamath_cross_encoder_rerank
CrowS-Pairs stereotype preference rate (Kamath Ch 6)morie_kamath_crowspairs_bias
Dense passage retrieval top-k (Kamath Ch 7)morie_kamath_dense_passage_retrieval
(eps, delta)-DP definition check (Kamath Ch 6)morie_kamath_differential_privacy
Double quantization of the scale constants (Kamath Ch 4)morie_kamath_double_quantization
DPO loss from log-probabilities (Kamath Ch 5)morie_kamath_dpo_loss
Emergent-ability step metric (Kamath Ch 1)morie_kamath_emergent_abilities
MoE per-expert capacity (Kamath Ch 2)morie_kamath_expert_capacity_factor
FactScore over atomic claims (Kamath Ch 6)morie_kamath_factscore
FastText subword sum (Kamath Ch 2)morie_kamath_fasttext_subword morie_kamath_word_ngrams
Top-K few-shot exemplar selection (Kamath Ch 3)morie_kamath_few_shot_exemplar_selection
G-Eval rubric score from judge logits (Kamath Ch 8)morie_kamath_g_eval
GloVe weighted least-squares cost (Kamath Ch 2)morie_kamath_glove_cost morie_kamath_glove_weight
Groundedness reward (Kamath Ch 7)morie_kamath_groundedness_reward
Houlsby bottleneck adapter (Kamath Ch 4)morie_kamath_houlsby_adapter
Hybrid dense/sparse score fusion (Kamath Ch 7)morie_kamath_hybrid_retrieval_fusion
HyDE retrieval via a hypothetical document (Kamath Ch 7)morie_kamath_hyde_hypothetical_doc
Image-text contrastive loss (Kamath Ch 9)morie_kamath_image_text_contrastive
Image-text matching head (Kamath Ch 9)morie_kamath_image_text_matching
In-context learning conditional probability (Kamath Ch 3)morie_kamath_in_context_learning_prob
Instruction-tuning cross entropy (Kamath Ch 4)morie_kamath_instruction_tuning_loss
KL-shaped RLHF reward (Kamath Ch 5)morie_kamath_kl_reward_shaping
LLaVA visual instruction assembly (Kamath Ch 9)morie_kamath_llava_visual_instruction
LoRA forward with alpha/r scaling (Kamath Ch 4)morie_kamath_lora_weight_update
Mamba selective SSM scan (Kamath Ch 2)morie_kamath_mamba_ssm
Medusa multi-head speculative prediction (Kamath Ch 8)morie_kamath_medusa_heads
Membership inference by loss threshold (Kamath Ch 6)morie_kamath_membership_inference
Canary exposure (Kamath Ch 6)morie_kamath_memorization_exposure
MoE auxiliary load-balancing loss (Kamath Ch 2)morie_kamath_moe_load_balance_loss
Softmax top-k MoE router (Kamath Ch 2)morie_kamath_moe_router_softmax
Top-k gate renormalisation (Kamath Ch 2)morie_kamath_moe_top_k_gating
MoverScore from exact Word Mover's Distance (Kamath Ch 8)morie_kamath_moverscore morie_kamath_word_movers_distance
Multimodal MAE squared reconstruction loss (Kamath Ch 9)morie_kamath_multimodal_mae
NExT-GPT any-to-any pipeline (Kamath Ch 9)morie_kamath_nextgpt_any2any
NF4 equal-mass normal quantile grid (Kamath Ch 4)morie_kamath_nf4_datatype morie_kamath_normal_quantile
N-gram MLE conditional probability (Kamath Ch 2)morie_kamath_ngram_language_model
Nucleus (top-p) truncation (Kamath Ch 8)morie_kamath_nucleus_sampling
P-tuning v2 deep prefix concatenation (Kamath Ch 4)morie_kamath_p_tuning_v2
Perplexity from log-probabilities (Kamath Ch 8)morie_kamath_perplexity
PET loss (Kamath Ch 3)morie_kamath_pet_loss
Post-LN and pre-LN transformer blocks (Kamath Ch 2)morie_kamath_layer_norm_rows morie_kamath_post_ln_transformer morie_kamath_pre_ln_transformer
PPO-RLHF objective (Kamath Ch 5)morie_kamath_ppo_rlhf_objective
Prefix tuning key/value concatenation (Kamath Ch 4)morie_kamath_prefix_tuning
Prompt tuning soft-prompt prepend (Kamath Ch 4)morie_kamath_prompt_tuning
Q-Former cross-attention (Kamath Ch 9)morie_kamath_q_former
QLoRA 4-bit forward (Kamath Ch 4)morie_kamath_dequantize_nf4 morie_kamath_qlora_4bit
RAGAS answer relevance from a reverse-question model (Kamath Ch 7)morie_kamath_ragas_answer_relevance
RAGAS context relevance (Kamath Ch 7)morie_kamath_ragas_context_relevance
Reciprocal rank fusion (Kamath Ch 7)morie_kamath_reciprocal_rank_fusion
Rejection-sampling fine-tuning (Kamath Ch 5)morie_kamath_rejection_sampling_finetune
RetNet retention (Kamath Ch 2)morie_kamath_retnet_retention
Bradley-Terry reward-model NLL over preference pairs (Kamath Ch 5)morie_kamath_reward_model_training_loss
RLAIF Bradley-Terry reward fit (Kamath Ch 5)morie_kamath_rlaif_objective
RLHF pipeline SFT -> RM -> PPO (Kamath Ch 5)morie_kamath_rlhf_pipeline
RMSNorm (Kamath Ch 2)morie_kamath_rms_norm
Rotary positional embedding (Kamath Ch 2)morie_kamath_rotary_positional_embedding
ROUGE-N against a single reference (Kamath Ch 8)morie_kamath_rouge_n
RWKV time-mixing (Kamath Ch 2)morie_kamath_rwkv_time_mix
Power-law scaling (Kamath Ch 1)morie_kamath_scaling_laws
Self-consistency majority vote (Kamath Ch 4)morie_kamath_self_consistency
Self-RAG reflection-token decisions (Kamath Ch 7)morie_kamath_self_rag
SentencePiece unigram trainer (Kamath Ch 2)morie_kamath_sentencepiece_tokenizer
Speculative decoding accept/reject (Kamath Ch 8)morie_kamath_speculative_decoding
Step-back prompting (Kamath Ch 4)morie_kamath_step_back_prompting
StereoSet stereotype-preference fraction (Kamath Ch 6)morie_kamath_stereoset_bias
Summarisation from human feedback (Kamath Ch 5)morie_kamath_summarize_from_feedback
SwiGLU activation (Kamath Ch 2)morie_kamath_swiglu_activation morie_kamath_swish
T5 span corruption (Kamath Ch 2)morie_kamath_t5_span_corruption
Temperature-scaled softmax (Kamath Ch 8)morie_kamath_temperature_sampling
ToxiGen classifier toxicity probability (Kamath Ch 6)morie_kamath_toxigen_score
Tree-of-thoughts beam search (Kamath Ch 4)morie_kamath_tree_of_thoughts
Unigram LM tokenizer by EM (Kamath Ch 2)morie_kamath_unigram_lm_tokenizer morie_kamath_unigram_loglik morie_kamath_viterbi_segment
VeRA adapter (Kamath Ch 4)morie_kamath_vera_adapter
Verbalizer class probabilities (Kamath Ch 3)morie_kamath_verbalizer_mapping
Skip-gram log-likelihood with the full softmax (Kamath Ch 2)morie_kamath_word2vec_skipgram
YaRN NTK-aware RoPE frequency rescaling (Kamath Ch 2)morie_kamath_yarn_context_extrapolation
Kaplan-Meier product-limit estimatormorie_kaplan_meier morie_survival_km
Kernel change-point analysis (KFDR scan)morie_kcusum
Kernel density estimate with the Silverman bandwidthmorie_kde_h
Native 2-D kernel density estimate (reproduces MASS::kde2d)morie_kde2d
Kendall's tau-bmorie_kendall_tau
Kendall partial-tau correlation (Gibbons Ch 12.6)morie_kendall_tau_partial
Kernel and RKHS methodsmorie_arccos_kernel morie_bayesian_kernel_blup morie_kernel_blup_gxe morie_kernel_blup_replicated morie_kernel_eigen_design morie_kernel_matrix morie_kernel_methods morie_nystrom morie_rkhs_fit morie_rkhs_mixed_equations morie_rkhs_predict morie_sparse_kernel_design
Kernel principal components analysis via 'kernlab'morie_kernel_pca
Conditional quantile by inverting a kernel CDFmorie_kernel_quantile
Kaplan-Meier Hadamard derivativemorie_km_hadamard
Kaplan-Meier product-limit estimator, computed nativelymorie_km_native
K-means clustering (R parity)morie_kmeans_clustering
KMT strong-approximation boundmorie_kmt_bound
Kozachenko-Leonenko k-nearest-neighbour differential entropymorie_knn_entropy
Konig's theorem: maximum matching equals minimum vertex covermorie_konig_theorem
Ordinary kriging system, variances, and the exponential semivariogrammorie_kriging
Ordinary kriging with a Prasad-Rao corrected prediction errormorie_kriging_pred_error
Kruskal-Wallis non-parametric ANOVAmorie_kruskal_wallis_test
Kolmogorov-Smirnov limits and exact one-sided tailmorie_ks_limit
Kupiec unconditional-coverage LR test for VaR exceedancesmorie_kupiec_var_test
Lag features (ch. 6 p. 170)morie_lagfeat
LAMB layer-wise adaptive momentsmorie_lamb
Replication of O'Connell & Laniyonu (2025) - CSC actuarial-risk disparitymorie_laniyonu_actuarial_risk_disparity
Replication of Laniyonu (2018) - Coffee Shops and Street Stopsmorie_laniyonu_gentrification_policing
Replication of Laniyonu & Goff (2021) - Police force vs SMI disparitymorie_laniyonu_smi_force_disparity
One draw from Lap(0, b) by inverse transformmorie_laplace_noise
Laplace mechanism (primary entry point)morie_laplc
LARS layer-wise adaptive rate scalingmorie_lars
Coordinate-descent lasso pathmorie_lasso_path
A Latin square of order nmorie_latin_square
Convex hull of lattice points by Andrew's monotone chainmorie_lattice_convex_hull
Deterministic standard normals from the shared LCG + Box-Muller (hmdfw)morie_lcg_normal
Latent-class mixed models via 'lcmm'morie_lcmm_latent_class
Linkage disequilibrium (r-squared) between two locimorie_ld
Median lethal dose from a quantal assaymorie_ld50
l-diversity of an anonymised releasemorie_ldiff
Learning curve - train / val MSE vs training-set size (R parity)morie_learning_curve
Least-squares line and sample correlationmorie_least_squares
Levene test for equality of variancesmorie_levene_test
Lewbel's special-regressor estimator for binary responsemorie_lewbel_binary
morie's SPDX-style licence metadatamorie_license_metadata
Law of the iterated logarithm ratio and the Chung liminf constantmorie_lil_ratio
The Y = mX + Z correlation modelmorie_linear_corr_model
Ordinary least squares closed-form solution (R parity)morie_linear_regression_ols
Marginal likelihood of a straight-line model (eq. 28.22, Ex. 28.2, p. 352)morie_linevid
Haebara characteristic-curve IRT linkingmorie_linkhae
IRT moment linking (mean/mean, mean/sigma)morie_linkmm
Stocking-Lord characteristic-curve IRT linkingmorie_linkqp
List all datasets with cache statusmorie_list_datasets
List implemented MORIE CPADS modulesmorie_list_morie_modules
Return TRUE when a language model is set upmorie_llm_agent_available
Send a prompt to a language modelmorie_llm_ask
Ask a language model with a whole conversationmorie_llm_ask_multi
Bring-your-own language model: backend, model list and chatmorie_llm_backend morie_llm_chat morie_llm_models
Show or save the language-model settingsmorie_llm_config
The language-model route that would answermorie_llm_detect_provider
Sign in for the curated tables at data.rmorie.commorie_llm_login
Forget the stored data keymorie_llm_logout
List the models an Ollama server is servingmorie_llm_ollama_models
Probe a local Ollama instancemorie_llm_probe_ollama
Attach your own model endpointmorie_llm_provider_set morie_llm_provider_show morie_llm_provider_unset
POST a chat-completion request to an OpenAI-compatible endpointmorie_llm_request_completion
Fit a regression model with a full model-object contractmorie_lm
Scaling of a morie_lm fit with the number of observationsmorie_lm_scaling
Linear mixed-effects model (native, lme4/nlme compatible)morie_lmm
LMS instantaneous error and gradientmorie_lms_error
Load CPADS data: local files -> cache -> CKAN APImorie_load_cpads
Load the real CPADS CSV from this repositorymorie_load_cpads_data
Load a dataset by catalog keymorie_load_dataset
k-ary randomised response (local differential privacy)morie_local_dp_randomised_response
Local linear regressionmorie_local_linear
Local outlier factormorie_local_outlier_factor
Local FDR estimation via 'locfdr'morie_locfdr_estimate
Local polynomial regression smoothermorie_locp
Logistic regression effect and fit statisticsmorie_logistic_effects
Logistic regression model, likelihood, and MLEmorie_logistic_fit
Logistic-scale Wald intervals for odds ratios and probabilitiesmorie_logistic_wald
Logit link utilitiesmorie_logit_link
Rescaling of logit coefficients across nested modelsmorie_logit_rescale
Detect separation in a logistic regression and show why the fit cannot convergemorie_logit_separation
Log-rank testmorie_logrank_test morie_survival_logrank
Log transformation with an optional offset (ch. 6 p. 163)morie_logtrans
Lord's chi-square test for differential item functioningmorie_lord_chisq
Variance of a training-loss stream, keeping the correlationmorie_loss_stream_variance
The symmetric Lovasz Local Lemmamorie_lovasz_local_lemma
Posterior odds as a running product of ratios (eq. 3.31, p. 63)morie_lrprod
M-estimator asymptotic normalitymorie_m_normality
Median absolute deviation and the MAD-median outlier rulemorie_mad morie_madn morie_mad_median_rule morie_mad_rescaled
Coerce to raw the way digest::makeRaw doesmorie_make_raw
Mann-Whitney U test (Wilcoxon rank-sum)morie_mann_whitney_test
Manski no-assumption bounds on the average treatment effectmorie_manski
Manski worst-case bounds (full interface)morie_manskif
Mantel's theorem: the triangle-free casemorie_mantel_number
Mean absolute percentage error (ch. 19 p. 568)morie_mapets
Marginal integration for a nonparametric additive modelmorie_marginal_integration
Marginal structural modelsmorie_marginal_structural_models morie_msm_accelerated_failure morie_msm_cox_marginal morie_msm_gmm_estimator morie_msm_linear morie_msm_logistic morie_msm_negative_binomial morie_msm_poisson morie_msm_time_varying_exposure
Verify recoded category counts against the counts a release publishedmorie_marginals_verify
Marker variance-component estimationmorie_marker_variance
morie_matching_abadie_imbens_kernel_cppmorie_matching_abadie_imbens_kernel_cpp
Abadie-Imbens standard error for matching estimatorsmorie_matching_abadie_imbens_se
ATC from a matched samplemorie_matching_atc_matched
ATE from a matched / weighted samplemorie_matching_ate_matched
ATT from a matched samplemorie_matching_att_matched
Balance diagnostics for matched / weighted samplesmorie_matching_balance
Publication-ready balance tablemorie_matching_balance_table
Cardinality matchingmorie_matching_cardinality
Coarsened Exact Matching (CEM)morie_matching_cem
morie_matching_cem_strata_cppmorie_matching_cem_strata_cpp
Restrict a sample to the region of common supportmorie_matching_common_support
Doubly-robust ATT combining matching and regressionmorie_matching_doubly_robust
Entropy balancing weights (Hainmueller, 2012)morie_matching_entropy_balance
Estimate propensity scoresmorie_matching_estimate_propensity
morie_matching_euclidean_pairs_cppmorie_matching_euclidean_pairs_cpp
Exact matching on discrete covariatesmorie_matching_exact
Optimal full matchingmorie_matching_full
Genetic matching (Diamond & Sekhon, 2013)morie_matching_genetic
Longitudinal matching for panel datamorie_matching_longitudinal
Love-plot data: pre- vs post-matching balancemorie_matching_love_plot_data
Mahalanobis distance matchingmorie_matching_mahalanobis
morie_matching_mahalanobis_pairs_cppmorie_matching_mahalanobis_pairs_cpp
Matching with multiple (> 2) treatment groupsmorie_matching_multi_treatment
Nearest-neighbour propensity-score matchingmorie_matching_nearest_neighbor
morie_matching_nn_select_cppmorie_matching_nn_select_cpp
Optimal pair matchingmorie_matching_optimal_pair
Propensity-score overlap diagnosticsmorie_matching_overlap
Comprehensive matching-quality assessmentmorie_matching_quality
Rosenbaum bounds for hidden biasmorie_matching_rosenbaum_bounds
Subclassification (stratification) on the propensity scoremorie_matching_subclassify
Trim propensity scores to a fixed rangemorie_matching_trim_propensity
Variable-ratio matching on propensity scoremorie_matching_variable_ratio
Matheron classical semivariogram estimator with its (4.25) variancemorie_matheron_estimator
The maximal independent setsmorie_matroid_bases
The minimal dependent setsmorie_matroid_circuits
The dual matroidmorie_matroid_dual
Rank of a subset: the size of its largest independent subsetmorie_matroid_rank
Matrix profile of a time seriesmorie_matrxP
Matthews correlation coefficient from label vectorsmorie_matthews_corrcoef
Max-flow min-cut by Ford-Fulkerson with breadth-first augmentationmorie_max_flow_min_cut
Manski maximum score and Horowitz's smoothed versionmorie_maximum_score
Matthews correlation coefficient from confusion-matrix countsmorie_mcc_counts
MCD-based robust Mahalanobis outlier detectionmorie_mcd_outlier
Average the softmax over repeated stochastic forward passes (p. 410)morie_mcdrop
Monte Carlo tree search with UCT and random rolloutsmorie_mctsr
Two-part minimum-description-length message length (eq. 28.16-28.17, p. 352)morie_mdlpost
Value iteration for a finite Markov decision processmorie_mdpval
morie_mean_cppmorie_mean_cpp
Markov equivalence, ch. 5 p. 85 (Verma and Pearl, 1991)morie_mectest
Median voter with a standard error that does not assume normalitymorie_median_voter_ci
Difference-in-coefficients mediation estimatormorie_mediation_difference
Product-of-coefficients mediation estimatormorie_mediation_product
Mediation sensitivity to an unobserved confoundermorie_mediation_sensitivity
Meta-analysis effect-size conversionsmorie_meta_convert
Size of the DerSimonian-Laird truncation bias under homogeneitymorie_meta_dl_bias
Meta-analysis effect sizes: d, Hedges g, RR, OR, Fisher Zmorie_meta_effect_sizes
Hartung-Knapp-Sidik-Jonkman interval with DerSimonian-Laird or REML heterogeneitymorie_meta_hksj
Meta-analysis pooling: weights, mean effect, Q, I squared, tau squaredmorie_meta_pool
Fixed-effect and DerSimonian-Laird random-effects pooling, with what the truncation doesmorie_meta_random_effects
Random- / fixed-effects meta-analysis via 'metafor'morie_meta_rma
MIRT a to factor-loading conversion (and inverse)morie_mfird
MIDAS regression with Beta-polynomial weightsmorie_midas_regression
Barnard-Rubin adjusted degrees of freedom for MI inferencemorie_midegf
Pool a scalar estimate across multiply imputed data setsmorie_miefcl
Mutual information by k-nearest-neighbour statistics (KSG)morie_miest1
Mini-batch stochastic gradient descent for OLS (R parity)morie_mini_batch_gradient
The constant in the Hirano-Porter treatment-choice boundmorie_minimax_regret_constant
Kruskal's algorithm: greedy on the cycle matroidmorie_minimum_spanning_tree
MICE: multivariate imputation by chained equations (normal model)morie_miord2
Correct a prevalence for identification errormorie_misclass_correct
Adjust an observed count for identification errormorie_misclass_count
Misclassification of an ordinal exposure can reverse a contrastmorie_misclassified_contrast
Nondifferential misclassification of a binary exposuremorie_misclassified_rd
Linear mixed-model estimationmorie_blue_blup_v morie_em_lmm morie_lmm_loglik morie_mixed_models morie_mme morie_one_way morie_reml_loglik
Apply SMOTE oversampling to balance a binary outcomemorie_ml_apply_smote
Assess model performancemorie_ml_assess
Apply (or reverse) a prepped recipe to datamorie_ml_bake
Center a numeric vector to a target meanmorie_ml_center
Evaluate Random Forest robustnessmorie_ml_eval_robustness
Mean/median/constant imputation of a numeric vectormorie_ml_impute
Load a trained model from diskmorie_ml_load
Specify a supervised model without fitting itmorie_ml_model
Estimate recipe parameters from training datamorie_ml_prep
Specify a preprocessing recipemorie_ml_recipe
Train + assess across resampling folds and combine the resultsmorie_ml_resample
Save a trained model to diskmorie_ml_save
Scale a numeric vector by a target standard deviationmorie_ml_scale
Partition data into train / test / validation setsmorie_ml_split
Train a specified modelmorie_ml_train
Estimate time to train a modelmorie_ml_train_time
Tune hyperparameters by cross-validated grid searchmorie_ml_tune
Multinomial probabilities and conditional odds ratiosmorie_mlogit_probs
Kernel two-sample test using the maximum mean discrepancymorie_mmd_test
Mobius inversion over the divisor latticemorie_mobius_inversion
Model-assisted (GREG) estimatorsmorie_model_assisted
Model evaluation metricsmorie_binary_metrics morie_brier morie_class_metrics morie_mcc morie_model_metrics morie_pca morie_ridge
Names of the CPADS analysis modulesmorie_module_names
Causal forest with an isotonic monotonicity constraint on the CATEmorie_monotone_causal_forest
Moran's I under a deterministic trend, and on regression residualsmorie_moran_trend
Moran's I and its asymptotic testmorie_morans_i morie_morans_i_test
Milo et al. (2002) network-motif significancemorie_motiff
Causal moving-average (boxcar) filtermorie_moving_average
MRCV loglinear means and GLMM linear predictorsmorie_mrcv_glmm
Canonical MRM causal DAGsmorie_mrm_dags
Estimate a causal effect through the full MRM pipelinemorie_mrm_estimate_causal_effect
Load a special-investigations sample with provenance metadatamorie_mrm_load_si_dataset
Reconcile two sources under an explicit matching schemamorie_mrm_reconcile
Render a publication-ready table from an MRM effect objectmorie_mrm_report
Message length and its probability, in bits (eq. 28.15, p. 352)morie_msglen
A reference inner learnermorie_mtdrl_TabularHistoryAgent morie_mtdrl_TabularHistoryAgent-class
Multi-horizon distributional accuracy testmorie_multi_horizon_ks
Multi-trait GBLUP via vec-stacked mixed-model equationsmorie_multi_trait_gblup
Multicategory logit modelsmorie_multicategory_logit
Multinomial coefficient with an implicit leftover committeemorie_multinomial_coef
Multinomial and contingency-table PMFsmorie_multinomial_pmf
Multiple testing correction and multiplicity-adjusted inferencemorie_multiple_testing
Multi-trait and genotype-by-environment modelsmorie_bmtme_conditionals morie_gxe_blup morie_gxe_multitrait morie_multitrait morie_multitrait_ridge
Posterior over the mean at known noise level (eq. 24.9-24.11, p. 320)morie_mupostsg
Draw multivariate normal samples under a structured covariancemorie_mvn_with_covariance
Multivariate normal rectangle probability via 'mvtnorm'morie_mvnorm_pmv
Sample from the multivariate normal via 'mvtnorm'morie_mvnorm_sample
Native multivariate normal sampling (reproduces MASS::mvrnorm)morie_mvrnorm
The greedy allocation loses to the patient one when the discount is highmorie_myopic_example
A negative binomial with the zero share and mean of any zero-inflated Poissonmorie_nb_matches_zip
N-BEATS-style polynomial + Fourier basis-expansion forecastingmorie_nbeats_basis
Effective sample size under clusteringmorie_neff_cluster
Nelson-Aalen cumulative hazardmorie_nelson_aalen morie_survival_nelsonaalen
Nesterov accelerated gradient stepmorie_nesterov
Gaussian graphical model by the graphical lassomorie_netcms
Monotone 1-D transport map fitted to the quantile couplingmorie_neural_kantorovich_map
Feed-forward neural networksmorie_ann_forward morie_ann_gradients morie_ann_train morie_neural_network
Newey-West HAC covariancemorie_newey_west_vcov
N-HiTS multi-rate sampling with hierarchical interpolationmorie_nhitsnet
Nonlinear least squares from a model formula (native)coef.morie_nls deviance.morie_nls df.residual.morie_nls fitted.morie_nls logLik.morie_nls morie_nls predict.morie_nls print.morie_nls print.summary.morie_nls residuals.morie_nls summary.morie_nls vcov.morie_nls
Efficient weight function for semiparametric weighted NLSmorie_nls_weight_function
Non-backtracking (Hashimoto) matrixmorie_nonbacktracking_matrix
The identification region of a proportion under nonresponsemorie_nonresponse_region
morie_normal_pdf_cppmorie_normal_pdf_cpp
Normal-scores transformmorie_normal_scores
Nonparametric kernel regression via 'np'morie_np_kernel_reg
Sieve estimate of the NPIV operatormorie_npiv_operator
Nonparametric quantile IVmorie_npiv_quantile
Nadaraya-Watson kernel regressionmorie_nw_regression
Socrata default-API-cap note + pagination wiringmorie_nyc_nypd_socrata_cap_note
Run the full New York Police Department analysis suitemorie_nypd_all_analyses
Check reported odds ratios against a labelled table, under every relabellingmorie_odds_ratio_check
Odds ratio and confidence interval from a 2x2 contingency tablemorie_odds_ratio_ci
Ordinary least squares with inferencemorie_ols
Simple OLS regression by the textbook equationsmorie_ols_simple
Two-predictor OLS slopes from correlationsmorie_ols_two_iv
Omega-squared (less biased than eta-squared)morie_omega_squared
One-sample coverage probability (Gibbons Ch 2.11.1)morie_one_sample_coverage
One-sample t-testmorie_one_sample_t_test
One Newton step from any root-n start to asymptotic efficiencymorie_one_step_efficient
Native one-way permutation test (Fisher-Pitman)morie_oneway_test
Theorem 5.2: the variance-minimising trimming thresholdmorie_optimal_alpha
Theorem 5.3: the one-sided threshold for the effect on the treatedmorie_optimal_alpha_att
Variance-minimising overlap weight for a dual-frame estimatormorie_optimal_overlap_weight
Order-statistic laws: median, coverage, binomial-beta identitymorie_order_statistic_laws
Jonckheere-Terpstra ordered-alternatives test (Gibbons Ch 10.6)morie_ordered_alternatives_test
Linear-by-linear association test for ordered categories (Gibbons Ch 14.6.1)morie_ordered_categories
Maximum-score estimator for an ordered-response modelmorie_ordered_max_score
Ordinal (cumulative) logit utilitiesmorie_ordinal_logit_ca
Model-based prediction of design variances (Ospats family)morie_ospats
Doubly-robust (AIPW) ATE on OTIS data via cross-fitted nuisancesmorie_otis_aipw_ate
SuperLearner-stacked AIPW on OTIS data (native)morie_otis_aipw_superlearner
Run the full OTIS analysis capsulemorie_otis_all_analyses
Comprehensive per-dataset analyses for ALL 28 OTIS public-release filesmorie_otis_all_analyze
OTIS a01 high-level causal analysis (MatchIt + IRM-DML)morie_otis_analyze_a01
a01 alt-T Ruhela: Age 50+ -> vm countmorie_otis_analyze_a01_mrm_alt_age morie_otis_analyze_a01_ruhela_alt_age
a01 alt-T Ruhela: Female -> vm countmorie_otis_analyze_a01_mrm_alt_gender morie_otis_analyze_a01_ruhela_alt_gender
a01 alt-T Ruhela: Toronto region -> vm countmorie_otis_analyze_a01_mrm_alt_toronto morie_otis_analyze_a01_ruhela_alt_toronto
OTIS a01 Ruhela formulations (full DLRM)morie_otis_analyze_a01_dlrm morie_otis_analyze_a01_mrm morie_otis_analyze_a01_ruhela_formulations
Per-year full-DLRM on the a01 canonical formulationmorie_otis_analyze_a01_mrm_per_year morie_otis_analyze_a01_ruhela_per_year
a01 subgroup Ruhela: Female-only cell framemorie_otis_analyze_a01_mrm_subgroup_female morie_otis_analyze_a01_ruhela_subgroup_female
a01 subgroup Ruhela: Male-only cell framemorie_otis_analyze_a01_mrm_subgroup_male morie_otis_analyze_a01_ruhela_subgroup_male
OTIS a01 causal pipeline + Toronto Crime Severity Index contextmorie_otis_analyze_a01_with_csi_context
Run every OTIS analyzer against a named list of datasetsmorie_otis_analyze_all
Person-level segregation-placement analysis (b01)morie_otis_analyze_b01
b01 alt-T Ruhela: Age 50+ -> vm countmorie_otis_analyze_b01_mrm_alt_age morie_otis_analyze_b01_ruhela_alt_age
b01 alt-T Ruhela: Female -> vm countmorie_otis_analyze_b01_mrm_alt_gender morie_otis_analyze_b01_ruhela_alt_gender
b01 alt-T Ruhela: Toronto region -> vm countmorie_otis_analyze_b01_mrm_alt_toronto morie_otis_analyze_b01_ruhela_alt_toronto
OTIS b01 Ruhela formulations (full DLRM)morie_otis_analyze_b01_dlrm morie_otis_analyze_b01_mrm morie_otis_analyze_b01_ruhela_formulations
Per-year full-DLRM on the b01 canonical formulationmorie_otis_analyze_b01_mrm_per_year morie_otis_analyze_b01_ruhela_per_year
b01 subgroup Ruhela: Female-only cell framemorie_otis_analyze_b01_mrm_subgroup_female morie_otis_analyze_b01_ruhela_subgroup_female
b01 subgroup Ruhela: Male-only cell framemorie_otis_analyze_b01_mrm_subgroup_male morie_otis_analyze_b01_ruhela_subgroup_male
Aggregate segregation days per person per year (b02)morie_otis_analyze_b02
b02 alt-T Ruhela: Age 50+ -> seg-day countmorie_otis_analyze_b02_mrm_alt_age morie_otis_analyze_b02_ruhela_alt_age
b02 alt-T Ruhela: Toronto region -> seg-day countmorie_otis_analyze_b02_mrm_alt_region morie_otis_analyze_b02_ruhela_alt_region
OTIS b02 Ruhela formulations: T=Female -> seg-day countmorie_otis_analyze_b02_dlrm morie_otis_analyze_b02_mrm morie_otis_analyze_b02_ruhela_formulations
Segregation placements by alert x institution (b03)morie_otis_analyze_b03
b03 aggregate Ruhela: Alert presence -> seg placementsmorie_otis_analyze_b03_mrm_aggregate morie_otis_analyze_b03_ruhela_aggregate
Placement durations by region & gender (b04)morie_otis_analyze_b04
b04 aggregate Ruhela: Female -> median seg durationmorie_otis_analyze_b04_mrm_aggregate morie_otis_analyze_b04_ruhela_aggregate
Distribution of placements by binned duration (b05)morie_otis_analyze_b05
Mandela-RF on b05 - per-placement Mandela classification by yearmorie_otis_analyze_b05_mandela_classification
b05 aggregate Ruhela: schema-no-demographic guardmorie_otis_analyze_b05_ruhela_aggregate
Reasons for placement x institution x gender (b06)morie_otis_analyze_b06
b06 aggregate Ruhela: Disciplinary reason -> seg placementsmorie_otis_analyze_b06_mrm_aggregate morie_otis_analyze_b06_ruhela_aggregate
Alerts x gender (b07)morie_otis_analyze_b07
b07 aggregate Ruhela (pivot to long): With-alert -> seg placementsmorie_otis_analyze_b07_mrm_aggregate morie_otis_analyze_b07_ruhela_aggregate
Durations by institution & gender (b08)morie_otis_analyze_b08
b08 aggregate Ruhela: Female -> median seg duration (institution-clustered)morie_otis_analyze_b08_mrm_aggregate morie_otis_analyze_b08_ruhela_aggregate
Individuals by number of placements x gender (b09)morie_otis_analyze_b09
b09 aggregate Ruhela: Female -> individuals in segregationmorie_otis_analyze_b09_mrm_aggregate morie_otis_analyze_b09_ruhela_aggregate
MRM chi-square family on c-seriesmorie_otis_analyze_c_chi2
Total individuals x custody/RC/seg x gender (c01)morie_otis_analyze_c01
c01 aggregate Ruhela: Female -> RC countmorie_otis_analyze_c01_mrm_aggregate morie_otis_analyze_c01_ruhela_aggregate
c01 region-cluster variant (year-clustered GEE)morie_otis_analyze_c01_mrm_aggregate_region_cluster morie_otis_analyze_c01_ruhela_aggregate_region_cluster
Individuals in RC/seg by institution (c02)morie_otis_analyze_c02
c02 aggregate Ruhela: Female -> RC (institution GEE)morie_otis_analyze_c02_mrm_aggregate morie_otis_analyze_c02_ruhela_aggregate
Individuals x race x gender (c03)morie_otis_analyze_c03
c03 aggregate Ruhela: Indigenous -> RCmorie_otis_analyze_c03_mrm_aggregate morie_otis_analyze_c03_ruhela_aggregate
Individuals in RC/seg by race x region (c04)morie_otis_analyze_c04
c04 aggregate Ruhela: Indigenous -> RC (by region)morie_otis_analyze_c04_mrm_aggregate morie_otis_analyze_c04_ruhela_aggregate
c04 region-cluster variantmorie_otis_analyze_c04_mrm_aggregate_region_cluster morie_otis_analyze_c04_ruhela_aggregate_region_cluster
Individuals in RC/seg by religion x region (c05)morie_otis_analyze_c05
c05 aggregate Ruhela: non-majority religion -> RCmorie_otis_analyze_c05_mrm_aggregate morie_otis_analyze_c05_ruhela_aggregate
Individuals in RC/seg by age category x region (c06)morie_otis_analyze_c06
c06 aggregate Ruhela: Age 50+ -> RCmorie_otis_analyze_c06_mrm_aggregate morie_otis_analyze_c06_ruhela_aggregate
Individuals x alerts x gender (c07)morie_otis_analyze_c07
c07 aggregate Ruhela: Alert presence x Gender -> RCmorie_otis_analyze_c07_mrm_aggregate morie_otis_analyze_c07_ruhela_aggregate
Individuals by religion x gender (c08)morie_otis_analyze_c08
c08 aggregate Ruhela: non-majority religion x gender -> RCmorie_otis_analyze_c08_mrm_aggregate morie_otis_analyze_c08_ruhela_aggregate
Individuals by age category x gender (c09)morie_otis_analyze_c09
c09 aggregate Ruhela: Age 50+ x gender -> RCmorie_otis_analyze_c09_mrm_aggregate morie_otis_analyze_c09_ruhela_aggregate
RC/seg aggregate durations by institution (c10)morie_otis_analyze_c10
c10 aggregate Ruhela: Female -> median RC days (institution GEE)morie_otis_analyze_c10_mrm_aggregate morie_otis_analyze_c10_ruhela_aggregate
Individuals by aggregate-duration bin (c11)morie_otis_analyze_c11
Mandela-RF on c11 - per-individual Mandela classification by yearmorie_otis_analyze_c11_mandela_classification
c11 aggregate Ruhela: long-duration bin (>=16 days) -> RCmorie_otis_analyze_c11_mrm_aggregate morie_otis_analyze_c11_ruhela_aggregate
RC/seg aggregate durations by region & gender (c12)morie_otis_analyze_c12
c12 aggregate Ruhela: Female -> median RC days (by region)morie_otis_analyze_c12_mrm_aggregate morie_otis_analyze_c12_ruhela_aggregate
MRM chi-square family on d-seriesmorie_otis_analyze_d_chi2
Person-level custodial deaths (d01)morie_otis_analyze_d01
Custodial deaths by gender (d02)morie_otis_analyze_d02
d02 aggregate Ruhela: Female -> custodial deathsmorie_otis_analyze_d02_mrm_aggregate morie_otis_analyze_d02_ruhela_aggregate
Custodial deaths by race (d03)morie_otis_analyze_d03
d03 aggregate Ruhela: Indigenous -> custodial deathsmorie_otis_analyze_d03_mrm_aggregate morie_otis_analyze_d03_ruhela_aggregate
Custodial deaths by religion (d04)morie_otis_analyze_d04
d04 aggregate Ruhela: non-majority religion -> custodial deathsmorie_otis_analyze_d04_mrm_aggregate morie_otis_analyze_d04_ruhela_aggregate
Custodial deaths by age category (d05)morie_otis_analyze_d05
d05 aggregate Ruhela: Age 50+ -> custodial deathsmorie_otis_analyze_d05_mrm_aggregate morie_otis_analyze_d05_ruhela_aggregate
Custodial deaths by alert x medical cause (d06)morie_otis_analyze_d06
Custodial deaths by alert x housing unit (d07)morie_otis_analyze_d07
Mandela-RF cross-comparison: Ontario provincial vs federal SIUmorie_otis_analyze_otis_mandela_provincial_vs_federal
Aggregate Ruhela grid: one-page IRR comparison across analyzersmorie_otis_analyze_ruhela_grid
Paper-ready master report - every Ruhela formulation in one resultmorie_otis_analyze_ruhela_master
Per-fiscal-year full-DLRM Ruhela formulation drivermorie_otis_analyze_ruhela_per_year
Registry of dataset-id -> analyzermorie_otis_analyzers
Alert-state combination encoding (8 combos -> complexity index)morie_otis_astcmb
Doubly robust average treatment effect on the controls (ATC)morie_otis_atc
Covariate balance before and after weighting or matchingmorie_otis_balance
Run IPW / AIPW / IRM-DML on the three canonical (T, Y) pairsmorie_otis_causal_grid
Goffmanian institutional-churn analyses on OTISmorie_otis_churn
Run all 11 OTIS-churn analysesmorie_otis_churn_analyze_all
Mandela alert-state classifier for an OTIS placement rowmorie_otis_classify_mandela_combo
Disciplinary x medical-protection overlapmorie_otis_disciplinary_medical_overlap
Total-days embedding distribution (lognormal vs Pareto vs exp)morie_otis_embedding_distribution
Export the OTIS restrictive-confinement figuresmorie_otis_figures
Parametric g-computation of the ATE on OTIS datamorie_otis_gcomputation
Intra-year region-to-region transition matrixmorie_otis_intra_year_transition_matrix
Hajek-stabilised IPW estimator of the ATE on OTIS datamorie_otis_ipw_ate
Interactive Regression Model DML on OTIS data (ATE, ATTE, ATC)morie_otis_irm_dml
Poisson + Negative-Binomial IRR for volatility ~ alert complexitymorie_otis_irr_glmm_vm
Load the canonical OTIS CSVmorie_otis_load
Pair (a): MentalHealth_Alert -> SuicideRisk_Alert (binary -> binary)morie_otis_make_pair_a
a01-aware wrapper for the Ruhela alert -> volatility buildermorie_otis_make_pair_alert_to_volatility_a01
Run both Ruhela and Naive alert -> volatility buildersmorie_otis_make_pair_alert_to_volatility_all
Naive (max-simultaneous-flags + binary vm) alert -> volatility buildermorie_otis_make_pair_alert_to_volatility_naive
Ruhela's primary alert-complexity -> regional-volatility buildermorie_otis_make_pair_alert_to_volatility_ruhela
Pair (b): HighAlertComplexity -> AnyReadmissionmorie_otis_make_pair_b
Pair (c): RegionalVolatility -> SegregationDaysmorie_otis_make_pair_c
Mortification co-occurrence (concurrent alerts)morie_otis_mortification_cooccurrence
Full OTIS descriptive statistics suitemorie_otis_otdesc
Cross-fitted partially linear DML (ATE/ATT) on OTISmorie_otis_otdml
Path complexity Gini by (year, region)morie_otis_path_complexity_gini
IRM-DML (or the whole estimator battery) fitted separately by yearmorie_otis_per_year_irm_dml
OTIS analysis pipeline (RichResult-style driver)morie_otis_pipeline
Partially Linear Regression DML on OTIS data (native)morie_otis_plr
Ontario Restrictive Confinement (OTIS) primitive analysesmorie_otis_alert_state_combo morie_otis_descriptives morie_otis_dml morie_otis_primitives morie_otis_rc_trends morie_otis_regional_placement morie_otis_volatility
Propensity-score 1:k NN matching with caliper on OTIS data (native)morie_otis_psm
Propensity-score subclassification ATE on OTIS data (native)morie_otis_psm_subclass
Restrictive-confinement trends over time by regionmorie_otis_rctrnd
Multi-region path x Gender / Age contingencymorie_otis_regC_demog_contingency
Region x alert state richnessmorie_otis_region_alert_state_richness
Repeat-placement concentration (Goffmanian cyclical-inmate)morie_otis_repeat_placement_concentration
Regional placement matrix by age groupmorie_otis_rplace
Run all OTIS-TPS overlay analysesmorie_otis_tps_analyze_all
Composite overlay (alias for the YoY correlation)morie_otis_tps_composite_overlay
Cross-link OTIS (Ontario corrections) with TPS (Toronto police) datamorie_otis_tps_overlay
OTIS seg/RC totals per region x year (Toronto row flagged for TPS-overlay use)morie_otis_tps_per_region_rollup
Year-over-year correlation between OTIS Toronto-region segregation placements and TPS incident counts (per category)morie_otis_tps_yoy_correlation
Regional volatility / placement movementmorie_otis_volat
Within-year placement-count distributionmorie_otis_within_year_placement_count
Within-year region diversitymorie_otis_within_year_region_diversity
The outcome test: equal hit rates do not certify equal thresholdsmorie_outcome_test
Propensity-score overlap diagnosticsmorie_over
Oversampling factor to reach a target subgroup compositionmorie_oversample_factor
Theorem 5.4 / Corollary 5.2 OWATE weightsmorie_owate_weights
IBS-given-IBD probabilities for one SNP (PLINK Table 1)morie_p_ibs_given_ibd
Partial autocorrelation by the Durbin-Levinson recursion (ch. 3)morie_pacfts
Paired t-testmorie_paired_t_test
Pan-Tompkins adaptive threshold updatemorie_pan_tompkins_update
Pedroni panel cointegration statisticsmorie_panel_cointegration
Panel-data deconvolution of the individual and idiosyncratic densitiesmorie_panel_deconvolution
Both panel-deconvolution density estimatorsmorie_panel_densities
Maximum-score estimator for panel binary responsemorie_panel_max_score
Parse an NYPD 'law_code' string into its structural fieldsmorie_parse_nypd_law_code
Partial correlation matrix (native)morie_partial_cor
Partial correlation test for one pair given controls (native)morie_partial_cor_test
Partial permutations N_P_nmorie_partial_permutations
Kendall partial tau controlling for zmorie_partial_tau
Robinson's partially linear modelmorie_partially_linear
Integer partition counts by the pentagonal number theoremmorie_partition_count
Partitions of n into exactly k positive partsmorie_partitions_into_parts
Every partition of an integermorie_partitions_of
The party problem: R(3,3) = 6, proved rather than quotedmorie_party_problem
Party unity score per legislatormorie_party_unity
PatchTST patching with reversible instance normalizationmorie_patchts
Resolve standard project pathsmorie_paths
PCA via SVD for dimension reduction (R parity)morie_pca_dimension_reduction
Phonocardiogram (PCG) bandpass filtermorie_pcg_filter
Partial credit model category probabilitiesmorie_pcm
Exact penalised changepoint detection (PELT)morie_pelt
Penalised doubly robust TMLEmorie_penalised_tmle
Elastic-net regression via coordinate descent (base R)morie_penalized_regression
Robust correlationsmorie_percentage_bend_correlation morie_winsorized_correlation
Percentile-modified rank (Gastwirth) two-sample test (Gibbons Ch 8.3.3)morie_percentile_modified_rank
Collinearity / VIF check via 'performance'morie_performance_check_collinearity
Regression-diagnostic plots via 'performance'morie_performance_check_model
Outlier check via 'performance'morie_performance_check_outliers
R-squared family via 'performance'morie_performance_r2
Two-stream attention masks induced by a factorization ordermorie_permutation_attention_masks
Permutation language-model loss under one factorization ordermorie_permutation_lm_loss
Exactness of the permutation p-value over a finite designmorie_permutation_valid
Projected gradient descentmorie_pgdsdg
Pick's theorem, checked by counting rather than assumedmorie_pick_theorem
Pinball (quantile) loss (ch. 17 p. 494)morie_pinball
Placebo doubly-robust difference-in-differencesmorie_placebo_dr_did
Planck spectral radiance B(lambda, T)morie_plncF
pmf of the sum of two independent discrete variablesmorie_pmf_convolve
Moments of a discrete pmfmorie_pmf_moments
Point-biserial correlationmorie_point_biserial_r
Chernoff tail bound for a Poisson countmorie_poisson_chernoff
Poisson distribution surfacemorie_poisson_dist
Poisson regression and loglinear modelsmorie_poisson_loglinear
PolarQuant polar-transformation quantizationmorie_polqnt
Native ordered logistic/probit regression (reproduces MASS::polr)morie_polr
Polya tree posterior mean densitymorie_polya_tree_density
Mixture of Polya treesmorie_polya_tree_mixture
Adaptive Polya tree ratemorie_polya_tree_rate
Polynomial regression (R parity)morie_polynomial_regression
Hosking's multivariate portmanteau test for white noisemorie_portmanteau_hosking
Positivity: every treatment value has positive probability in every covariate stratum (ch. 7 p. 157)morie_poschk
Refit by OLS on the lasso's selected supportmorie_post_lasso
Quadratic approximation to a posterior (eq. 28.5, p. 344)morie_postgapx
Posterior odds from a likelihood ratio and prior odds (eq. 3.21, p. 53)morie_postodds
Power for a two-proportion z-testmorie_power_prop_test
Power for a two-sample t-testmorie_power_t_test
Statistical power for t-based tests (crim shelf)morie_power_ttest_crim
Partial correlation via 'ppcor'morie_ppcor_partial
Semi-partial correlation via 'ppcor'morie_ppcor_semipartial
Probability proportional to size (PPS) samplingmorie_pps_sample
pps with-replacement variance estimator of a totalmorie_pps_variance
Genomic-prediction accuracy metricsmorie_prediction_accuracy
Newton's predictive recursionmorie_predictive_recursion
Aggregate per-record predictive-policing data to one row per areamorie_predpol_aggregate_areas
Audit whether an algorithm's area risk ranking matches realised outcomesmorie_predpol_calibration_audit
Descriptive disparity in a risk score across groupsmorie_predpol_score_disparity
Audit how disparity metrics move over time and across citiesmorie_predpol_temporal_audit
Preprocess an image for a pretrained model (pp. 458-459)morie_pretprep
Privacy amplification by subsamplingmorie_privacy_amplification
Privacy-accuracy trade-offmorie_private_accuracy_tradeoff
An interval that accounts for the mechanism's own variancemorie_private_ci
Laplace mechanism releasemorie_private_release
Elementary probability rules for an event pairmorie_prob_rules
Probability of necessity: bounds for attributing an outcome to a sanctionmorie_probability_of_necessity
Profile a data.frame: per-column types, missingness, summary statisticsmorie_profile_dataset
Prophet-style additive decomposition (linear trend + Fourier seasonality)morie_prophet_components
Wilson score confidence interval for a proportionmorie_proportion_ci
Multitaper power spectral densitymorie_psdmt
Propensity-score matching standardized absolute biasmorie_psm_balance
Expected a posteriori ability estimatemorie_psy_eap_theta
ICC(1,k): one-way random, average of k ratingsmorie_psy_icc1k
ICC(2,k): two-way random, average measuremorie_psy_icc2k
ICC(3,k): two-way mixed, average measuremorie_psy_icc3k
Leave-one-out influence for meta-analysismorie_psy_ma_loo
Paule-Mandel between-study variancemorie_psy_ma_paule_mandel
REML between-study variancemorie_psy_ma_reml
Robust variance estimation for dependent effect sizesmorie_psy_ma_rve
Maximum a posteriori ability estimatemorie_psy_map_theta
Maximum-likelihood ability estimatemorie_psy_mle_theta
EAP theta over a response matrix - aliasmorie_psy_theta_eap
MAP theta over a response matrix - aliasmorie_psy_theta_map
Warm's weighted likelihood ability estimatemorie_psy_wle_theta
Cronbach's coefficient alpha with Feldt CImorie_psymet_alpha
Alpha if item deletedmorie_psymet_alphadel
Average variance extracted (AVE) from factor loadings. Mean(lambda^2)morie_psymet_ave
Bartlett's test of sphericitymorie_psymet_bartlett
Composite reliability from standardized factor loadings. CR = (sum lambda)^2 / ((sum lambda)^2 + sum(1 - lambda^2))morie_psymet_cr
Item discrimination (D-statistic)morie_psymet_discrimination
Corrected item-total correlationsmorie_psymet_itemtotal
Kaiser-Meyer-Olkin sampling adequacymorie_psymet_kmo
McDonald's omega total and hierarchicalmorie_psymet_omega
Horn's parallel analysis - suggested number of factorsmorie_psymet_parallel
Spearman-Brown split-half reliabilitymorie_psymet_splithalf
Parallel tempering (replica exchange)morie_ptmcmc
Tabular Q-learningmorie_qlearn
Quandt/Andrews sup-Wald structural-break testmorie_qlrtst
Empirical quantile mappingmorie_qmDS
Quantile treatment effect via Firpo IPWmorie_qte_firpo
Exact regression quantile (Koenker-Bassett)morie_quanrg
Quantile-balanced causal forest for distributional treatment effectsmorie_quantile_causal_forest
Quantile Hadamard sandwich inequalitymorie_quantile_hadamard
Quantile regression via 'quantreg'morie_quantile_reg
Linear quantile regression (ch. 17 p. 500)morie_quantreg
R3 repetition-code bit posterior (MacKay 2003 eq. 1.18, p. 9)morie_r3post
Rake a weight vector to known population marginsmorie_rake
Erdos's probabilistic lower bound on the diagonal R(k, k)morie_ramsey_lower_bound_probabilistic
Ramsey number R(k, l), exactly or as an intervalmorie_ramsey_number
Upper bounds on R(k, l) from the classical argumentsmorie_ramsey_upper_bound
Verify a Ramsey lower-bound witnessmorie_ramsey_witness
Random Forest ensemble (R parity)morie_random_forest_ensemble
Random-forest genomic predictormorie_random_forest_genomic
Random search hyperparameter optimisation (R parity)morie_random_search_cv
Random-walk exposure on a graph is proportional to degreemorie_random_walk_exposure
Warner randomized responsemorie_randomized_response_dp
Bartels rank test via 'randtests'morie_randtests_bartels
Wald-Wolfowitz runs test via 'randtests'morie_randtests_runs
Turning-point test via 'randtests'morie_randtests_turning_point
Mann's rank test for randomness (Gibbons Ch 3.5)morie_rank_based_test
Exact null distributions of Kendall's tau and Spearman's rhomorie_rank_exact_null
Semiparametric rank estimators of a single-index modelmorie_rank_index
Signed ranks of paired differences (Gibbons Ch 5.5)morie_rank_order_statistics
Rank-persistence null: the overlap of two top-k sets by chancemorie_rank_persistence_null
Rank placements of Y among X order statistics (Gibbons Ch 2.11.3)morie_rank_placements
Tie-corrected null variances for the rank-sum familymorie_rank_tie_variance
Resolution of a ranking built from noisy risk scoresmorie_ranking_resolution
ANOVA (method-of-moments) estimation of variance componentsmorie_ranova
Rao-Scott first-order corrected goodness-of-fit chi-squaremorie_raoscot
RAPPOR encode (Sec. 2, steps 1-4)morie_rappor
RAPPOR decode (Sec. 4)morie_rappor_decode
RAPPOR privacy parameters (Theorems 1 and 2)morie_rappor_epsilon
RAPPOR effective report probabilities (Lemma 1)morie_rappor_star
Measure a convergence exponentmorie_rate_check
Ratio estimator with an auxiliary variablemorie_ratio_estimator
Power-series coefficients of a rational generating functionmorie_rational_gf_coefficients
Randomized-experiment test statisticsmorie_rct_tests
MSE-optimal RD bandwidths (rdrobust's mserd)morie_rd_mserd_bandwidth
Sharp / fuzzy regression discontinuity with bundled diagnosticsmorie_rdd
MSE-optimal RD bandwidth (Calonico, Cattaneo and Farrell 2020)morie_rdd_bandwidth_cct
Imbens-Kalyanaraman (IK) MSE-optimal bandwidthmorie_rdd_bandwidth_ik
Rule-of-thumb (ROT) bandwidth - Silverman-style on running variablemorie_rdd_bandwidth_rot
Bandwidth sensitivity sweepmorie_rdd_bandwidth_sensitivity
CCT bias-corrected, robust-SE RDD inferencemorie_rdd_bias_corrected
Cattaneo-Jansson-Ma (2020) local-polynomial density testmorie_rdd_cattaneo_density
Covariate balance at the cutoffmorie_rdd_covariate_balance
McCrary-style RD density test via 'rddensity'morie_rdd_density_test
RDD with discrete running variablemorie_rdd_discrete
Donut-hole RDDmorie_rdd_donut
Fuzzy RDD treatment effect via instrumented Wald ratiomorie_rdd_fuzzy
Geographic / boundary RDD on a signed distancemorie_rdd_geographic
RDD kernel functionsmorie_rdd_kernels morie_rdd_kernel_epanechnikov morie_rdd_kernel_gaussian morie_rdd_kernel_triangular morie_rdd_kernel_uniform
Regression kink design - slope discontinuity at the cutoffmorie_rdd_kink
Local polynomial regression at user-supplied evaluation pointsmorie_rdd_local_polynomial
Local-randomisation RDD inference via 'rdlocrand'morie_rdd_local_randinf
Local-randomisation RDD via permutation in a fixed windowmorie_rdd_local_randomisation
McCrary (2008) density manipulation testmorie_rdd_mccrary
Placebo cutoff falsification testmorie_rdd_placebo_cutoff
Binned scatter + global-polynomial data for an RD plotmorie_rdd_plot_data
RDD power calculationmorie_rdd_power
Power calculations for RDD designs via 'rdpower'morie_rdd_power_calc
RDD sample-size determinationmorie_rdd_sample_size
Sharp RDD treatment effect at the cutoffmorie_rdd_sharp
RDKit path-based topological fingerprintmorie_rdkfp
Compose identical sampled Gaussians (Mironov 2017, Proposition 1)morie_rdp_compose
Gaussian RDP curve (Mironov 2017, Corollary 3)morie_rdp_gaussian
Laplace RDP curve (Mironov 2017, Corollary 2)morie_rdp_laplace
Exact RDP of the sampled Gaussian mechanism at an integer ordermorie_rdp_sampled_gaussian
Renyi-DP budget of the Gaussian mechanismmorie_rdpc
RDP curve of composed sampled Gaussians, optionally converted to DPmorie_rdpcomp
Read outputs manifest from a projectmorie_read_outputs_manifest
Read a Parquet filemorie_read_parquet
Recursive multi-step forecasting (ch. 18 p. 546)morie_recmulti
Recommended bivariate test for a pair of variablesmorie_recommended_pair_test
Recommended summary statistic for a single variablemorie_recommended_summary
Reconcile hierarchical forecasts so they add upmorie_reconcile_hierarchy
Recorded counts from true counts through a recording matrixmorie_recording_map
Two recording regimes from one recorded seriesmorie_recording_regimes
Markov-switching regression (Hamilton 1989)morie_regime_switching
Value of a treatment regime (AIPW / IPW / regression)morie_regime_value
Linear regression with inference, robust errors and diagnosticsmorie_regression
Regression (difference) estimatormorie_regression_estimator
Regression to the mean at selected hot spotsmorie_regression_to_mean
Ridge / LASSO / ElasticNet regularization path (R parity)morie_regularization_path
Name the mechanical step that reproduces a label permutationmorie_relabel_forensics
Relative risk from an odds ratio: the interval that arrest-only data allowmorie_relative_risk_from_or
Relative mean absolute error against a benchmark (ch. 19 p. 571)morie_relmae
Renyi differential privacy compositionmorie_renyi_dp_composition
Blocklength reaching a target error rate (eq. 1.44-1.45, p. 17)morie_repcn
Block error probability of the RN repetition code (eq. 1.42-1.43, p. 17)morie_repcpb
Report Noisy Maxmorie_reportm
Empirical distribution of regression residualsmorie_residual_edf
Weighting-class adjustment for survey nonresponsemorie_respwt
Ridge regression closed form, the grid-search default estimator (hmgrs)morie_ridge_estimator
Recentered influence function of a quantile, and the gap it carriesmorie_rif_gap morie_rif_quantile
CSR test via Monte Carlo envelopes on Ripley's Kmorie_ripley_csr_test
Ripley's K functionmorie_ripley_k
Risk difference (ARD) with Newcombe CImorie_risk_difference_ci
Risk ratio (relative risk) with log-normal CImorie_risk_ratio_ci
RKHS regression with Gaussian kernelmorie_rkhs_full
Residualized (Robinson-style) CATE estimatormorie_rlearn
Native robust (Huber M-estimator) regression (reproduces MASS::rlm)morie_rlm
RLS correlation matrix and normal equationsmorie_rls_phi
Uniform draws needed to hit the typical set once (eq. 29.19, p. 366)morie_rminsamp
Kabsch optimal-superposition RMSDmorie_rmsdtr
Root mean squared error (ch. 19 p. 566)morie_rmse
RMSProp optimiser stepmorie_rmsprop
Root mean squared scaled error (ch. 19 p. 572)morie_rmsse
Restricted mean survival timemorie_rmst
Difference in restricted mean survival time between two groupsmorie_rmst_difference
Vanilla RNN genomic predictor (BPTT, base R)morie_rnn_genomic
Huber M-estimator regressionmorie_rob_huber
General M-estimator regressionmorie_rob_m
MM-estimator regressionmorie_rob_mm
MM-estimator regression - alias entry pointmorie_rob_mm_alias
Qn robust scale estimatormorie_rob_qn
S-estimator regressionmorie_rob_s
Sen's slope for a time seriesmorie_rob_sens_slope
Sn robust scale estimatormorie_rob_sn
Tau-estimator regressionmorie_rob_tau
Theil-Sen slope estimatormorie_rob_theil_sen
Robust one-way designsmorie_robust_anova
Robust correlation, effect size and regressionmorie_robust_association
Robust measures of locationmorie_robust_location
Robust quantiles and spreadmorie_robust_quantiles
Robust tests for one and two groupsmorie_robust_tests
Heteroskedasticity-consistent covariance (White's sandwich)morie_robust_se morie_robust_vcov
ROC curve and AUC (R parity)morie_roc_auc_score
Rolling-window features (ch. 6 p. 176)morie_rollfeat
Rosenbaum sensitivity bounds over a Gamma gridmorie_rosenb
Convert an RDP curve to (epsilon, delta)-differential privacymorie_rpgad
Quantile regression (Frisch-Newton interior point, native)coef.morie_rq fitted.morie_rq logLik.morie_rq morie_rq predict.morie_rq print.morie_rq print.summary.morie_rq residuals.morie_rq summary.morie_rq vcov.morie_rq
Native set of bootstrap resamples (rsample-style)morie_rsample_bootstraps
The Robinson-Schensted correspondencemorie_rsk_correspondence
Row-insert one value into a tableau, bumpingmorie_rsk_insert
Recover the permutation from its two tableauxmorie_rsk_inverse
Wallinga-Teunis case reproduction numbersmorie_rtwall
Absorption probability of a finite-capacity allocationmorie_ruin_probability
Run the eBAC selection-adjusted IPW workflowmorie_run_ebac_selection_ipw_analysis
Mean run length of a restarted detector with false-alarm probability alphamorie_run_length_bound
Run one implemented MORIE module against CPADS datamorie_run_morie_module
Run multiple implemented MORIE modulesmorie_run_morie_modules
Run multiple workflow stepsmorie_run_pipeline
Run the CPADS propensity/IPW workflowmorie_run_propensity_ipw_analysis
Run an extended treatment-effects analysis (ATE / ATT / ATC + CATE)morie_run_treatment_effects_analysis
Run a weighted logistic-regression analysismorie_run_weighted_logistic_analysis
Run one project workflow stepmorie_run_workflow_step
Null distributions of the two-sample runs countsmorie_runs_pmf
Wald-Wolfowitz runs test (native)morie_runs_test
Exact null distribution of runs up and downmorie_runs_updown
Soft policy iteration (tabular soft actor-critic core)morie_sacc
Build a factor with explicit, verified levelsmorie_safe_factor
Recode a categorical column by explicit name-to-name mappingmorie_safe_recode
Relabel a categorical variable by name, never by positionmorie_safe_relabel
Load a included MORIE reference sample by namemorie_sample
Sample autocorrelation functionmorie_sample_acf
Sample partial autocorrelation functionmorie_sample_pacf
Required sample sizes and Bayesian criteriamorie_sample_size
Sample size for a subpopulation (domain) within a larger framemorie_sample_size_domain
Sample size for logistic regression (Hsieh, Bloch and Larsen 1998)morie_sample_size_logistic
Sample size for a proportion under a complex designmorie_sample_size_proportion
Spatial lag (SAR) model reduced formmorie_sar_lag
Tabular SARSAmorie_sarsa
Equiprobable Gaussian breakpoints for SAXmorie_sax_breakpoints
MINDIST between two SAX wordsmorie_sax_mindist
SAX word for a seriesmorie_saxR
Scaled Schoenfeld residuals and the Grambsch-Therneau PH testmorie_scaled_schoenfeld
Two-phase screening design for a rare subpopulationmorie_screen_design
t-SNE embedding (Algorithm 1 of van der Maaten & Hinton 2008)morie_sctsne
Standard deviations of sums and meansmorie_sd_forms
Seasonal naive baseline (ch. 8 p. 219)morie_seasnaive
The second moment methodmorie_second_moment_threshold
Selective labels: what a release rule's failure rate can be known from released casesmorie_selective_labels
Selective labels across judges ordered by leniencymorie_selective_labels_judges
Semiparametric kernel primitives (R port)morie_semipar_bridge
Semiparametric efficiencymorie_semipar_efficiency
Semi-partial (part) correlation matrix (native)morie_semipartial_cor
Amplification of a sensitivity parameter: one Gamma is a curve of (Lambda, Delta)morie_sensitivity_amplification
E-values for the EValue dispatch family (extender)morie_sensitivity_evalue
Konfound robustness for a coefficient (native konfound)morie_sensitivity_konfound
Omitted-variable bias on a fitted model (native sensemakr)morie_sensitivity_omitted_var_bias
Rosenbaum bounds sensitivity analysismorie_sensitivity_rosenbaum
Tipping point for a single unmeasured confounder (native tipr)morie_sensitivity_tipping_point
Worst-case identification bounds for a binary outcome under two sentencesmorie_sentence_effect_bounds
Monotone-treatment-response bounds for a binary outcome under two sentencesmorie_sentence_effect_mtr
Monotone-treatment-selection bounds for a sentencing contrastmorie_sentence_effect_mts
Smallest set that d-separates x from y, searched in a fixed ordermorie_sepset
Serial (chain) mediation X -> M1 -> M2 -> Ymorie_serial_mediation
Series (sieve) regressionmorie_series_regression
Autoformer series decomposition block, eq. (1)morie_seriesdecomp
Dynamic-equilibrium fitness-variance factor (eq. 19.7, p. 271)morie_sexbeta
Mean-fitness growth rate under recombination (eq. 19.13, p. 273)morie_sexdfdt
Closed-form fitness trajectory under recombination (eq. 19.14, p. 273)morie_sexfsol
SGD with heavy-ball momentummorie_sgd_momentum
Stochastic-gradient update on a mini-batchmorie_sgd_update
Savitzky-Golay smoothing filtermorie_sgolay_smooth
Closeness centrality (Wasserman & Faust Ch 5.3.2, sgtclo)morie_sgt_closeness_centrality
Hash R objects with numeric rounding (digest's sha1 generic, natively)morie_sha1
Shapiro-Wilk normality testmorie_shapiro_wilk_test
Error of the empirical-Bayes shrinkage factor when the total mass is estimatedmorie_shrinkage_factor_error
Loss of the shrinkage estimator against a known truthmorie_shrinkage_loss
The thing not to do: penalise the fluctuationmorie_shrunk_targeting_unsafe
Simple random sampling estimators for proportions and infinite totalsmorie_si_estimators
SIBTEST for differential item functioningmorie_sibtest
Sieve basismorie_sieve_basis
Sieve (series) solution of the nonparametric IV equationmorie_sieve_iv
Log evidence for the noise level (eq. 24.13, p. 320)morie_sigevid
Power function of the two-sided sign test (Gibbons Ch 5.4.4)morie_sign_test_power
Simple random sample from a data framemorie_simple_random_sample
Direct bridge to 'simpleboot::two.boot'morie_simpleboot_two
Close maximal simplices under taking facesmorie_simplicial_complex_faces
Simulate a longitudinal panel and return a tidy long-format data.framemorie_simulate_longitudinal_panel
The Singleton boundmorie_singleton_bound
The basic transfer theoremmorie_singularity_transfer
Run every SIU descriptive analysis in this modulemorie_siu_all_analyses
SIU descriptive analyses (R port of 'morie.siu.analyze')morie_siu_analyze
Per-field anomaly check: does the parser's extraction match the HTML?morie_siu_anomaly_check
Audit one SIU case end-to-end: parser output + raw HTMLmorie_siu_audit_case
Per-column accuracy audit: estimate every SIU column's correctnessmorie_siu_audit_columns
Mixture-of-Agents audit panel for one SIU report (native, any model)morie_siu_audit_panel
SIU cases by police servicemorie_siu_by_police_service
SIU cases by yearmorie_siu_by_year
Cache-path helper for the lightweight SIU scrapermorie_siu_cache_path
SIU per-case team-size distributionmorie_siu_case_counts
Chi-square: charges-recommended independent of year?morie_siu_charges_by_year_chi2
Apply the Sprott-Doob Mandela-Rules classifier to one SIU staymorie_siu_classify_mandela
SIU command-line front end inside Rmorie_siu_cli
Field-by-field SIU comparison against a user-supplied external tablemorie_siu_compare
SIU decision-timing distributionsmorie_siu_decision_timing
Affected-person demographicsmorie_siu_demographics
Lightweight Ontario SIU Director's Reports scraper (R-native)morie_siu_fetch morie_siu_index_url
Scrape Ontario SIU Director's Reports into a tidy CSVmorie_siu_fetch_cases
Scrape Ontario SIU Director's Reports and return a data framemorie_siu_fetch_dataframe
SIU drid ? case_number ? language indexmorie_siu_index
Extract SIU report fields with an LLM (Gemini or Claude)morie_siu_llm_extract
Mental-health / race keyword indicatorsmorie_siu_mental_health_race_indicators
Run the Mixture-of-Agents reading panel on SIU reportsmorie_siu_panel
Parse a SIU director's-report HTML page (pure-R)morie_siu_parse_html
Parse a SIU news-release HTML page (pure-R)morie_siu_parse_news_html
Parse one SIU director's report into the full 16-field schemamorie_siu_parse_report morie_siu_parse_reports
Pure-R SIU director's-report parser (port of 'morie.siu._parser')morie_siu_parser
Record a verified correction to the SIU parser's outputmorie_siu_record_correction
Rebuild the Ontario SIU DRID manifest by probing the live sitemorie_siu_refresh_manifest
SIU director's-reports corpus: reviewed data first, fetch only what's newmorie_siu_reports
Resolve a subject-official count: verified corpus first, rules secondmorie_siu_resolve_so
Row-level sanity check on a parsed SIU table (regex-only, no LLM)morie_siu_sanity_check
SIU schema, text, dates and report fetch (bricklayer or native core)morie_siu_fetch_report morie_siu_html_to_text morie_siu_report_url morie_siu_schema morie_siu_strip_boilerplate morie_siu_to_iso_date
Comprehensive replication of Sprott & Doob (Feb 2021)morie_siu_sprott_doob_feb2021
Sprott-Doob-Iftene (May 2021) Table 1: IEDM-reviewed populationmorie_siu_sprott_doob_iftene_table1
Sprott-Doob-Iftene (May 2021) Table 10: per-IEDM decision variancemorie_siu_sprott_doob_iftene_table10
Sprott-Doob-Iftene (May 2021) Table 15: long-stay no-IEDM casesmorie_siu_sprott_doob_iftene_table15
Sprott-Doob-Iftene (May 2021) Table 9: IEDM review outcomesmorie_siu_sprott_doob_iftene_table9
Sprott-Doob (Feb 2021) Table 11: Region x stay lengthmorie_siu_sprott_doob_table11
Sprott-Doob (Feb 2021) Table 12: regional over-/under-representationmorie_siu_sprott_doob_table12
Sprott-Doob (Feb 2021) Table 13: regional SIU person-stay ratesmorie_siu_sprott_doob_table13
Sprott-Doob (Feb 2021) Table 15: Region x MH-flagmorie_siu_sprott_doob_table15
Sprott-Doob (Feb 2021) Table 19: Mandela-Rules classificationmorie_siu_sprott_doob_table19
Sprott-Doob (Feb 2021) Table 22: Region x Mandela groupsmorie_siu_sprott_doob_table22
Sprott-Doob (Feb 2021) Table 23: regional torture/solitary ratesmorie_siu_sprott_doob_table23
Sprott-Doob (Feb 2021) Table 4: length-of-stay distributionmorie_siu_sprott_doob_table4
Translate SIU report text into any target language via local LLMmorie_siu_translate morie_siu_translate_fr_to_en
Recompute Pearson chi-square from a 2D contingency tablemorie_siu_verify_chi2
Verify every published chi-square against its transcribed cellsmorie_siu_verify_published_chi_squares
Federal Court affidavits / expert evidence indexed by 'morie'MORIE_SIUIAP_AFFIDAVITS
Build a citation string for an SIU IAP / CRIMSL / affidavit entrymorie_siuiap_cite
CRIMSL UToronto Sprott / Doob / Iftene research reports (2020-2021)MORIE_SIUIAP_CRIMSL_REPORTS
Earlier (Doob-chaired) panel, established 2019, dissolved mid-2020MORIE_SIUIAP_ORIGINAL_PANEL_2019_2020
SIU IAP panel mandate (long-form prose)MORIE_SIUIAP_PANEL_MANDATE
SIU IAP panel members (2021-2024 panel, Sapers-chaired)MORIE_SIUIAP_PANEL_MEMBERS
Human-readable summary of the SIU IAP panelmorie_siuiap_panel_summary
SIU IAP panel reports (Public Safety Canada, 2022-2024)MORIE_SIUIAP_REPORTS
SIU IAP - Public Safety Canada landing page URLMORIE_SIUIAP_URL
Univariate slice samplermorie_slice
Sliding-window cross-validation (ch. 5 p. 128)morie_slidecv
Symmetric mean absolute percentage error (ch. 19 p. 569)morie_smape
Smoothed deconvolution estimator of f_Umorie_smoothed_fU
Rate of convergence of the smoothed maximum-score estimatormorie_sms_rate
Standard normal homogeneity test (Alexandersson 1986)morie_snht
Sobel test for an indirect (mediated) effectmorie_sobel_test
Construct a spatial data objectmorie_spatial
Spatial two-stage least squaresmorie_spatial_2sls
morie_spatial_classical_mds_cppmorie_spatial_classical_mds_cpp
Spatial clustering of the coordinatesmorie_spatial_cluster
Coordinate matrix of a spatial objectmorie_spatial_coords
CRS of a spatial object (EPSG + WKT2-style label)morie_spatial_crs
Distance matrix for a spatial objectmorie_spatial_distance
Spatial autocorrelation and spatial-econometric estimatorsmorie_spatial_econometrics
morie_spatial_emirt_theta_update_cppmorie_spatial_emirt_theta_update_cpp
Ordinary kriging predictions at new locationsmorie_spatial_krige
Maximum-likelihood spatial regression modelsmorie_spatial_error_model morie_spatial_lag_model
Specification for an interactive (leaflet) mapmorie_spatial_leaflet_spec
Maximum-likelihood spatial models, point patterns and local privacymorie_spatial_models
Global Moran's I on a spatial objectmorie_spatial_moran
Construct spatial neighboursmorie_spatial_neighbors
morie_spatial_nominate_iterate_cppmorie_spatial_nominate_iterate_cpp
Spatial-lag omission is bias, spatial-error omission is inefficiencymorie_spatial_omission
Sample points from a spatial object, optionally by local densitymorie_spatial_sample
morie_spatial_smacof_step_cppmorie_spatial_smacof_step_cpp
Reproject a spatial object between CRS (4326 <-> 3857)morie_spatial_transform
Empirical semivariogrammorie_spatial_variogram
Fit a variogram model by Gaussian maximum likelihoodmorie_spatial_variogram_fit
Aldrich-McKelvey scalingmorie_spatial_voting_aldrich_mckelvey
Alpha-NOMINATE ideal points (Carroll et al. 2013)morie_spatial_voting_alpha_nominate
Anchoring vignettes for DIF correctionmorie_spatial_voting_anchoring_vignettes
Bayesian Aldrich-McKelvey scaling (Hare et al. 2015)morie_spatial_voting_bayesian_am
Bayesian IRT likelihood (deterministic part of CJR machinery)morie_spatial_voting_bayesian_irt_likelihood
Posterior summaries for a Bayesian IRT chainmorie_spatial_voting_bayesian_irt_posterior
Bayesian metric multidimensional scaling (Bakker and Poole 2013)morie_spatial_voting_bayesian_mds
Bayesian unfolding (Bakker and Poole 2013)morie_spatial_voting_bayesian_unfolding
Blackbox / Basic Space scalingmorie_spatial_voting_blackbox
Clinton-Jackman-Rivers Bayesian IRT by Gibbs samplingmorie_spatial_voting_cjr_irt
Classical (metric) multidimensional scalingmorie_spatial_voting_classical_mds
Cutting-line endpoints for Coombs-mesh plotsmorie_spatial_voting_cutting_lines
Double-center a distance matrixmorie_spatial_voting_double_centering
DW-NOMINATE dynamic weighted ideal-point estimatormorie_spatial_voting_dw_nominate
Dynamic IRT: ideal points that drift by a random walk (Martin and Quinn 2002)morie_spatial_voting_dynamic_irt
EM algorithm for binary IRTmorie_spatial_voting_em_irt
Ideal-point recovery from unfolding outputmorie_spatial_voting_ideal_point_recovery
INDSCAL: weighted MDS with individual differencesmorie_spatial_voting_indscal
MDS fit statistics (Mardia criterion)morie_spatial_voting_mds_fit_stats
MLSMU6 alternating least-squares unfoldingmorie_spatial_voting_mlsmu6
Parametric bootstrap of NOMINATE standard errorsmorie_spatial_voting_nominate_bootstrap
NOMINATE log-likelihood and GMPmorie_spatial_voting_nominate_loglik
NOMINATE Gaussian utilitymorie_spatial_voting_nominate_utility
Single NOMINATE vote probabilitymorie_spatial_voting_nominate_vote_prob
Nonmetric MDS with isotonic regressionmorie_spatial_voting_nonmetric_mds
Nonparametric bootstrap for AM / blackbox scaling positionsmorie_spatial_voting_nonparametric_bootstrap
Normal-vector projection of an external measuremorie_spatial_voting_normal_vectors
Optimal Classification scalingmorie_spatial_voting_optimal_classification
Ordered Optimal Classification for ordinal scalesmorie_spatial_voting_ordered_oc
Ordinal IRT: the ordinal factor model of Quinn (2004)morie_spatial_voting_ordinal_irt
Procrustes rotationmorie_spatial_voting_procrustes
SMACOF stress minimisationmorie_spatial_voting_smacof
SMACOF rectangular unfoldingmorie_spatial_voting_smacof_unfolding
Compute unfolding stressmorie_spatial_voting_unfolding_stress
Wordfish: Poisson IRT for document-term matricesmorie_spatial_voting_wordfish
Spatial weights from a neighbour matrixmorie_spatial_weights
morie_spatial_wordfish_omega_update_cppmorie_spatial_wordfish_omega_update_cpp
Spearman rank correlationmorie_spearman_rho
Build a list of column specs from a parsed CSV headermorie_specs_from_df
Spectral bandwidth by two criteriamorie_spectral_bandwidth
Spectral clustering via 'kernlab'morie_spectral_cluster
Welch power spectral densitymorie_spectral_density
Sperner's lemma on the standard subdivided trianglemorie_sperner_lemma_triangle
Sperner's theorem: the largest antichain in the subset latticemorie_sperner_width
Direct, spillover and net effects under a stated exposure mappingmorie_spillover_effects
Three-level exposure from a treatment on a place networkmorie_spillover_exposure
Exposure probabilities of a completely randomised deploymentmorie_spillover_exposure_probs
Horvitz-Thompson totals and contrasts under a randomised deploymentmorie_spillover_ht
Design variance of the Horvitz-Thompson total (population formula)morie_spillover_ht_variance
Ring mis-specification bound for the spillover estimandmorie_spillover_ring_bound
Cubic splines: piecewise, truncated power, basis and odds-ratio formsmorie_spline_logit
Sprott & Doob (CRIMSL UToronto) SIU analysesmorie_sprott_doob
The hook length formulamorie_standard_tableaux_count
Stars and bars countmorie_stars_bars
Bridge between external runners and the morie R command registrymorie_stat_bridge
Central command registry for the morie R surfacemorie_stat_commands
Local-level state-space model (Kalman filter+smoother)morie_state_space_model
Standardized coefficients for OLS and logistic modelsmorie_std_coef
Steiner triple systems, with the Bose construction verifiedmorie_steiner_triple_system
Unsigned Stirling numbers of the first kindmorie_stirling_first
Stirling numbers of the second kindmorie_stirling_second
Stirling's series with its error bound checkedmorie_stirling_series_error
STL seasonal-trend decomposition by loessmorie_stl_decompose
STL decomposition with MAD outlier flagsmorie_stlAn
Seasonal-trend decomposition (ch. 3 p. 64)morie_stldecomp
Stratified estimator of a proportionmorie_stratified_proportion
Proportional or fixed stratified random samplemorie_stratified_sample
Stratified test split by proportional allocation (pp. 60-61)morie_stratsplt
Stratified simple random sampling estimatorsmorie_stsi_estimators
Spurious correlation of compositional parts, and its curemorie_subcompositional_incoherence
Rule of succession (eq. 3.16, p. 52)morie_sucrule
Suggest an analysis plan from a dataset profilemorie_suggest_analysis_plan
Sukhatme two-sample scale test (Gibbons Ch 9.7)morie_sukhatme_test
Density of the sum of two independent variables on gridsmorie_sum_density
Summarize an output auditmorie_summarize_output_audit
Raking calibration to known marginal totals (iterative proportional fitting)morie_survey_calibrate
Survey-weighted categorical estimatesmorie_survey_categorical
Complex-survey GLM in one callmorie_survey_complex_glm
Construct a survey design objectmorie_survey_design
Survey-weighted GLM with design-based SEsmorie_survey_glm
Hajek (ratio) estimator of a population meanmorie_survey_hajek_mean
Horvitz-Thompson estimator of a population totalmorie_survey_ht_total
Survey-weighted mean with its design-based standard errormorie_survey_mean
Post-stratification weights (sample-to-population alignment)morie_survey_poststratify
Ratio estimator of a population total using known X_popmorie_survey_ratio
Subpopulation (domain) mean with Woodruff linearised SEmorie_survey_subpop
Design-based vs model-based variance identities (chapter 26)morie_survey_variances
Survival analysis: Kaplan-Meier, Nelson-Aalen, log-rank and Coxmorie_survival
Kaplan-Meier Z-estimator mapmorie_survival_psi
Accepted primitives for the DSM expertsmorie_survvae_PRIMITIVES
SUTVA: no interference between units, one version of treatmentmorie_sutvachk
Binary C-SVC via SMO (compiled)morie_svc_train_cpp
Support vector machinesmorie_svm morie_svm_beta morie_svm_decision morie_svm_dual_objective morie_svm_fit_dual morie_svm_intercept morie_svm_label_matrix
Decision values for new data given fitted SVM coefficients (compiled)morie_svm_decision_cpp
Support-vector regression for genomic predictionmorie_svm_genomic
Linear SVM (primal hinge loss) - R paritymorie_svm_hinge_primal
Kernel SVM (RBF / poly / sigmoid) - R paritymorie_svm_kernel_trick
eps-SVR via SMO (compiled)morie_svr_train_cpp
Synchronised RNG seeded reproducibly for cross-language workflowsmorie_sync_rng
Native synthetic control (Abadie-Diamond-Hainmueller)morie_synth_control
Build a synthetic Corrections-UoF data.frame for testingmorie_synth_corrections_uof
Build a synthetic OTIS data.frame for a given publication idmorie_synth_otis
Build the full 29-dataset OTIS synthetic listmorie_synth_otis_all
Student-t quantile by bisection on the incomplete betamorie_t_quantile
Chi-square and total inertia of a two-way tablemorie_table_inertia
Tail ratios that separate light from power-law count tailsmorie_tail_ratio
Bayesian hierarchical preservation modelmorie_taphonomy_bhm
Centred log-ratio (CLR) transform of compositional datamorie_taphonomy_clr
Absorption analysis of a taphonomic decay chainmorie_taphonomy_decay_absorption
Build a taphonomic decay Markov chain (DTMC)morie_taphonomy_decay_chain
Natural-vs-treated fate delta for a taphonomic decay chainmorie_taphonomy_decay_delta
Simulate one decay path through a taphonomic Markov chainmorie_taphonomy_decay_simulate
Gaussian log-likelihood of forensic evidence under a modelmorie_taphonomy_evidence_loglik
Fetch USGS National Geochemical Database soil geochemistrymorie_taphonomy_fetch_usgs_soil
Isometric log-ratio (ILR) transform of compositional datamorie_taphonomy_ilr
Forensic likelihood ratio for two competing hypothesesmorie_taphonomy_likelihood_ratio
Download a MorphoSource media capsulemorie_taphonomy_morphosource_fetch
Search MorphoSource for 3D media or physical objectsmorie_taphonomy_morphosource_search
STO-2022 taphonomic-observation schema (PMI nuisance variables)morie_taphonomy_pmi_schema
Estimate the natural preservation "delta" and its E-valuemorie_taphonomy_preservation_delta
Preservation likelihood ratio from measured evidencemorie_taphonomy_preservation_lr
Taphonomy data schema (zero-row template)morie_taphonomy_schema
Simulate synthetic pXRF compositional data (Dirichlet)morie_taphonomy_simulate_pxrf
Tarone-Ware and the weighted log-rank familymorie_tarone_ware
Invert the Kendall's tau relation for a copula parametermorie_tau_to_theta
Explicit tau-leaping simulation (Gillespie 2001)morie_taulep
Test characteristic curvemorie_tcc
t-closeness of a release, per equivalence class and overallmorie_tcls
Terry-Hoeffding (Fisher-Yates) two-sample normal-scores test (Gibbons Ch 8.3.1)morie_terry_hoeffding_test
Test information functionmorie_test_information
Treatment effect adjusting for what the text revealsmorie_text_ate
Term frequency-inverse document frequency, computed nativelymorie_tfidf
Temporal Fusion Transformer gating and variable selectionmorie_tftnet
GJR-GARCH(1,1) threshold GARCHmorie_tgarch_model
Theta methodmorie_theta_method
Thinning a Poisson count: the recording rate is not identifiedmorie_thinning_identification
Two-regime self-exciting threshold autoregressive (SETAR) modelmorie_threshold_autoregression
TiDE dense encoder-decodermorie_tide
Asymptotic tightness / equicontinuity checkmorie_tightness_check
Tikhonov regularisation for nonparametric IVmorie_tikhonov_iv
Unit-root testing and robust regressionmorie_timeseries_robust
Compact one-line summary of the tmldgp recipemorie_tmldgp_cheatsheet
Compact one-line summary of the tmldta recipemorie_tmldta_cheatsheet
Compact one-line summary of the tmldyk recipemorie_tmldyk_cheatsheet
Compact one-line summary of the tmldyn recipemorie_tmldyn_cheatsheet
Targeted maximum likelihood estimate of the average treatment effectmorie_tmle_ate
Contrast between data-discovered exposure levels, done honestlymorie_tmle_data_adaptive
Differentially private TMLE of the ATEmorie_tmle_diff_kernel
Mean outcome under the (V-)optimal dynamic treatment rulemorie_tmle_dynamic_regime
TMLE for the instrumental-variable LATEmorie_tmle_late
Longitudinal TMLE: always-treat minus never-treatmorie_tmle_longitudinal
TMLE for natural direct and indirect mediation effectsmorie_tmle_mediation
Propensity-only TMLE: double robustness by constructionmorie_tmle_propensity_only
TMLE for quantile treatment effectsmorie_tmle_quantile
TMLE for the difference in restricted mean survival timemorie_tmle_rmst
TMLE bounds under the marginal sensitivity modelmorie_tmle_sensitivity
Sequentially targeted g-computation under time-varying confoundingmorie_tmle_time_varying
TMLE across a grid of propensity truncation levelsmorie_tmle_truncation_sweep
Compact one-line summary of the tmlefp recipemorie_tmlefp_cheatsheet
Load the included BIDIRECTIONAL 158 <-> 140 neighbourhood crosswalkmorie_to_hood_crosswalk
Load a Toronto neighbourhood polygon layermorie_to_neighbourhoods
Decode token IDs back to textmorie_tokenizer_decode
Encode text to a vector of token IDsmorie_tokenizer_encode
Construct a MORIE tokenizermorie_tokenizer_new
Vocabulary sizemorie_tokenizer_vocab_size
Distribution-free tolerance coefficient for (X(r), X(s))morie_tolerance_beta
Distribution-free (Wilks) tolerance limitsmorie_tolerance_limits
Every topological torsion in a molecule, with multiplicitiesmorie_topological_torsions
Compact one-line summary of the toptor recipemorie_toptor_cheatsheet
Toronto neighbourhood boundary versionsmorie_toronto_neighbourhoods
The paper's similarity score S = 2 D / (d_i + d_j)morie_torsion_similarity
Likelihood ratio for antemortem ingestion versus postmortem artefactmorie_tox_antemortem_lr
Fit an internal-standard calibration curve and inverse-predict an unknownmorie_tox_calibration
Adjudicate ethanol as antemortem ingestion versus postmortem productionmorie_tox_ethanol_congeners
Impute left-censored (below-LOD) toxicology valuesmorie_tox_left_censor_impute
Rank specimen matrices by reliability under submersion and decompositionmorie_tox_matrix_reliability
Typed zero-row schema for a forensic-toxicology sample tablemorie_tox_matrix_schema
Flag postmortem redistribution from a central:peripheral concentration ratiomorie_tox_pmr_ratio
Add an equivalent HOOD_140 column to a HOOD_158-keyed data.framemorie_tps_add_hood_140_from_158
Add an equivalent HOOD_158 column to a HOOD_140-keyed data.framemorie_tps_add_hood_158_from_140
Aggregate per-158 counts to per-140 counts (EXACT for pure cake-cuts)morie_tps_aggregate_158_to_140
RichResult-emitting analyses for the 13 TPS crime datasetsmorie_tps_analyze
Run the full TPS analysis capsule across many TPS data.framesmorie_tps_analyze_all
Convenience alias: full TPS capsule on the Assault datasetmorie_tps_analyze_assault morie_tps_analyze_autotheft morie_tps_analyze_bicycletheft morie_tps_analyze_breakandenter morie_tps_analyze_communitysafetyindicators morie_tps_analyze_hatecrimes morie_tps_analyze_homicides morie_tps_analyze_intimatepartnerandfamilyviolence morie_tps_analyze_neighbourhoodcrimerates morie_tps_analyze_robbery morie_tps_analyze_shootingandfirearmdiscarges morie_tps_analyze_theftfrommovingvehicle morie_tps_analyze_theftover
Toronto CSI per-year + per-ward from a named list of TPS data.framesmorie_tps_analyze_csi_from_dataframes
Run the standard TPS analysis capsule on one data.framemorie_tps_analyze_one
ARIMA(1,1,1) monthly-count forecastmorie_tps_arima_forecast
Assert the HOOD_* schema version of a TPS data.framemorie_tps_assert_hood_version
List of formats this build can actually loadmorie_tps_available_formats
Bivariate Moran's I between two attributes at the same polygonsmorie_tps_bivariate_moran
Bivariate Moran's I between two TPS categoriesmorie_tps_bivariate_morans_i
Pearson correlation across TPS categories' per-hood countsmorie_tps_category_correlation_matrix
Pettitt-style change-point on yearly incident countsmorie_tps_changepoint_detection
Compare Hawkes models across kernel x baseline combinationsmorie_tps_compare_hawkes_kernels
Composite per-neighbourhood crime-risk index across TPS categoriesmorie_tps_composite_index
Compare counts and trends across multiple TPS categoriesmorie_tps_crime_compare
Premise x neighbourhood co-occurrence networkmorie_tps_criminal_network_graph
Canonical CSI category names (the 9 TPS open-data feeds)MORIE_TPS_CSI_CATEGORIES
CSI per neighbourhood (HOOD_158)morie_tps_csi_per_neighbourhood
Toronto CSI per fiscal year from per-category countsmorie_tps_csi_per_year
Return the CSI weight for a TPS open-data categorymorie_tps_csi_weight
Default project data directory for TPS open datamorie_tps_data_dir
DBSCAN density clusters on lat/longmorie_tps_dbscan_clusters
Disaggregate per-140 counts to per-158 counts (uniform-density)morie_tps_disaggregate_140_to_158
Return the pre-1998 borough name for a (lat, lon) centroidmorie_tps_district_for_centroid
Fetch one TPS category as a CSV, paging until exhaustedmorie_tps_fetch_category
Fetch a TPS category and return it as a 'data.frame'morie_tps_fetch_dataframe
Export the TPS stochastic diagnostic figuresmorie_tps_figures
1-D Fokker-Planck density evolution under OU drift+diffusionmorie_tps_fokker_planck_grid
Local Getis-Ord Gi* statistic per neighbourhoodmorie_tps_getis_ord_g_star
Gini coefficient of a numeric vectormorie_tps_gini_concentration
Non-stationary Hawkes with non-exponential kernels (R port)morie_tps_hawkes_advanced
Fit a single (kernel, baseline) Hawkes specificationmorie_tps_hawkes_advanced_fit
Focused 2x2 Markovian vs non-Markovian Hawkes comparisonmorie_tps_hawkes_markovian_vs_nonmarkovian
Temporal exponential-kernel Hawkes fitmorie_tps_hawkes_temporal_fit
Helbing-Szolnoki inspection-game phase diagrammorie_tps_inspection_game_phase
2-D kernel density estimate of geocoded incidentsmorie_tps_kde_density
Euler-Maruyama Ornstein-Uhlenbeck simulationmorie_tps_langevin_simulate
TPS ArcGIS layer URLs known to MORIEMORIE_TPS_LAYER_URLS morie_tps_layer_urls
Levy-flight tail exponent on consecutive-incident stepsmorie_tps_levy_flight_alpha
List TPS categories known to the fetchermorie_tps_list_categories
List all TPS datasets as a 'data.frame'morie_tps_list_datasets
Map TPS format name -> path of the file that would be loadedmorie_tps_list_formats
Load TPS dataset 'name' in the given 'format'morie_tps_load
Load one TPS dataset by category name (CSV thin path)morie_tps_load_dataset
Load a TPS hub layer (incident category or aggregate layer)morie_tps_load_tps
Load a TPS incident dataset for the statistical-physics suitemorie_tps_load_tps_dataset
LISA - local Moran's Ii per neighbourhoodmorie_tps_local_morans_i
Lotka-Volterra predator-prey on yearly crime countsmorie_tps_lotka_volterra_police_crime
Sweep polygon Moran's I across (category x year)morie_tps_moran_sweep_heatmap
Global Moran's I on neighbourhood-level incident countsmorie_tps_morans_i_neighbourhood
How concentrated is crime across Toronto's 158 neighbourhoods?morie_tps_neighbourhood_concentration
Offence-distribution rollup for a TPS crime data.framemorie_tps_offence_summary
Polygon-aware Moran's I on a value columnmorie_tps_polygon_morans_i
Convert a SQL-style column name to a prose labelmorie_tps_pretty_label
Project (lat, lon) to rotated planar kilometresmorie_tps_project_xy
List the TPS PSDP layers wrapped by moriemorie_tps_psdp_layers
Registry of TPS open-data categoriesMORIE_TPS_REGISTRY
Toronto Police Service map rendering (R-side)morie_tps_render
Polygon choropleth map for Toronto (158 wards)morie_tps_render_choropleth
DBSCAN cluster figure on TPS-projected pointsmorie_tps_render_dbscan
District-level proportional-symbol mapmorie_tps_render_district_proportional
Render a TPS point-pattern map (incident dots, optional DBSCAN)morie_tps_render_points
Four-panel composite of TPS rendering primitivesmorie_tps_render_quad
SaTScan-style spatial scan panelmorie_tps_render_satscan_panel
Small-multiples panel of per-year TPS choroplethsmorie_tps_render_yearly_grid
Resolve which HOOD_* column to use on a TPS crime data.framemorie_tps_resolve_hood_col
Ripley's K function at multiple radiimorie_tps_ripley_k
Seasonal ARIMA forecast on monthly incident countsmorie_tps_sarima_forecast
Short-D'Orsogna-Brantingham 2008 hot-spot PDEmorie_tps_sdb_reaction_diffusion
Canonical Short-D'Orsogna-Brantingham Turing-pattern demomorie_tps_sdb_turing_demo
Seasonal / cyclic incident-time patternsmorie_tps_seasonal_pattern
Spatial rollup for a TPS crime data.framemorie_tps_spatial_summary
Statistical physics of crime for TPS datamorie_tps_statphysics
Run all four statistical-physics analyses on a list of categoriesmorie_tps_statphysics_analyze_all
Stochastic-physics-of-crime analyses for TPS datamorie_tps_stochastic
Format names that 'morie_tps_load()' knows how to dispatchMORIE_TPS_SUPPORTED_FORMATS
Temporal analyses for TPS crime datamorie_tps_temporal
Temporal rollup for a TPS crime data.framemorie_tps_temporal_summary
Toronto reference population by fiscal year (StatsCan 17-10-0009-01)MORIE_TPS_TORONTO_POPULATION_BY_YEAR
Total-CSI weights for the 9 TPS open-data categoriesMORIE_TPS_TOTAL_CSI_WEIGHTS
Bettencourt urban-scaling exponent across the 158 Toronto wardsmorie_tps_urban_scaling_beta
TPS Use-of-Force rate + type distributionmorie_tpsuof morie_tps_use_of_force
Violent-CSI weights for the 9 TPS open-data categoriesMORIE_TPS_VIOLENT_CSI_WEIGHTS
Year-over-year linear trend on incident countsmorie_tps_year_over_year_trend
Recommended HOOD_* schema version for a given OCC_YEARmorie_tps_year_to_hood_version
Side-by-side year-over-year panel across TPS categoriesmorie_tps_yoy_panel
Signed shortest difference 'a - b', in '[-pi, pi)'morie_tqang_angular_difference
One-line rationale mirroring the Python cheatsheetmorie_tqang_cheatsheet
Uniform quantisation of angles to '2^bits' equal sectorsmorie_tqang_quantize_angles morie_tqang_tqang morie_tqang_turboquant_angle_quantization
Wrap an angle to '[-pi, pi)'morie_tqang_wrap_angle
One-line rationale mirroring the Python cheatsheetmorie_tqlld_cheatsheet
Lloyd-Max optimal scalar codebookmorie_tqlld_lloyd_max_codebook morie_tqlld_tqlld morie_tqlld_turboquant_lloyd_max_codebook
Quantise samples with a fixed codebookmorie_tqlld_quantize_with_codebook
Gaussian transfer entropy / Granger conditional mutual informationmorie_transfer_entropy_gaussian
Transfer function and coherencemorie_transfer_function
Verify a categorical variable that crossed from one program to anothermorie_transfer_verify
Asymptotic properties of Horowitz's T_n and F_nmorie_transform_asymptotics
Prediction from a fitted transformation modelmorie_transform_prediction
Horowitz's nonparametric estimators of T and Fmorie_transform_T_F
Transformer (1-head self-attention) genomic predictor (base R)morie_transformer_genomic
Grow one regression / second-order tree (compiled)morie_tree_fit_cpp
Predict from a flattened tree (compiled)morie_tree_predict_cpp
The trend vector T = (1/N) sum (a_i - A) S_i and its randomisation testmorie_trend_vector
Trimming and Winsorizingmorie_trimmed_mean morie_winsorize morie_winsorized_mean morie_winsorized_variance
Heteroscedastic one-way designsmorie_brunner_dette_munk morie_trimmed_mean_anova
Inference for a single trimmed meanmorie_trimmed_mean_ci morie_trimmed_mean_se
Minimum-cost detection-to-track assignment (p. 476)morie_trkassign
Construct a validated time seriesmorie_ts
Forecast accuracy metricsmorie_ts_accuracy
Ordered autocorrelation / autocovariance of a seriesmorie_ts_acf
Fit an ARIMA / SARIMA modelmorie_ts_arima
Back-test a forecasting configuration on a holdout tailmorie_ts_backtest
Decompose a seasonal time seriesmorie_ts_decompose
Difference a series, retaining the information to reverse itmorie_ts_difference
Forecast from a fitted time-series modelmorie_ts_forecast
Select ARIMA orders by information criterionmorie_ts_select
Test a series for stationaritymorie_ts_stationarity
Trim a forecast to a maximum prediction-interval widthmorie_ts_trim_forecast
Reverse 'morie_ts_difference()'morie_ts_undifference
Native block bootstrap for time seriesmorie_tsboot
Missing-data imputation for time series (ch. 2 pp. 44-52)morie_tsimpute
TSMixer time-mixing and feature-mixing, all-MLPmorie_tsmixer
t-SNE for non-linear dimension reduction (R parity)morie_tsne_reduction
Time series recast as a regression problem (ch. 5 p. 118)morie_tsregmat
Seasonal Hybrid ESD anomaly detectionmorie_ttsAn
Stable train/test split by identifier hash (p. 58)morie_ttsplit
The Turan graph: complete r-partite with parts as equal as possiblemorie_turan_graph
Turan's theorem: most edges with no clique on r+1 verticesmorie_turan_number
Turning-point test (native)morie_turning_point_test
Three-way train/validation/test split by identifier hashmorie_tvtsplit
The twelvefold waymorie_twelvefold_way
Native two-sample bootstrapmorie_two_boot
Two-group binomial tests and the odds ratio Wald intervalmorie_two_group_binomial
Le Cam's two-point lower bound on a finite sample spacemorie_two_point_bound
Two-sample placement coverage (Gibbons Ch 2.11.2)morie_two_sample_coverage
Two-sample t-test with tidy outputmorie_two_sample_t_test
Two-step oracle-efficient additive model estimatormorie_two_step_additive
Optimal two-stage design sizesmorie_twostage_design
Typical-set membership test (eq. 4.29, p. 80)morie_typset
U-statistic of order mmorie_u_process
UCB1 bandit policy on a realized-reward tablemorie_ucbb
morie_unclr_phimorie_unclr_Phi morie_unclr_phi
The uniform matroid U(k, n)morie_uniform_matroid
First moment / union boundmorie_union_bound_exists
Unobserved-components decomposition (trend + seasonal + irregular)morie_unobserved_components
Posterior over a discrete urn hypothesis (eq. 2.25-2.26, p. 28)morie_urnpost
Posterior predictive probability for the next draw (eq. 2.29-2.31, p. 29)morie_urnpred
Get path to an MORIE userguidemorie_userguide
Validate a CPADS analysis data framemorie_validate_cpads_data
Validate outputs manifest structuremorie_validate_outputs_manifest
Van der Waerden two-sample normal-scores location test (Gibbons Ch 8.3.2)morie_van_der_waerden_test
VanRaden Method 1 genomic relationship matrixmorie_vanr1
Joint VaR backtest: coverage plus independencemorie_var_backtest
morie_var_cppmorie_var_cpp
Composite-likelihood semivariogram estimationmorie_variogram_composite_likelihood
Variogram-sampling design criteriamorie_variogram_design
One-way clustered covariance (native, CR0 / CR1)morie_vcov_cl
HAC (Newey-West) covariance (native)morie_vcov_hac
Heteroskedasticity-consistent covariance (native, HC0-HC5)morie_vcov_hc
Unified robust-covariance dispatcher (native)morie_vcov_robust
Vector error-correction model (VECM)morie_vecm
The veil-of-darkness contrast as a sign test with an identified bias ratiomorie_veil_of_darkness
Run the pollution-to-health causal pipeline and report itmorie_verify_pollution
Verify that a serialised statistical output meets minimum quality gatesmorie_verify_statistical_output
Fetch and cache a Google Cloud access token via gcloudmorie_vertex_access_token
Send a single-turn prompt to Gemini via Vertex AImorie_vertex_ask_gemini
Tiny smoke test for the Vertex AI clientmorie_vertex_health_check
Resolve Vertex AI configuration from environment variablesmorie_vertex_resolve_config
Indigenous victimisation rate ratio from the Victorian tablesmorie_vic_indigenous_ratio
Rank Victorian local government areas by offence ratemorie_vic_lga_rates
Offence-division trend from the Victorian criminal incidents tablemorie_vic_offence_trend
Tolerance and variance inflation factormorie_vif_tolerance
Garman-Klass OHLC volatility estimatormorie_vol_garman_klass
Harmonic-mean aggregation of per-period volatilitiesmorie_vol_harmonic
Microstructure noise variance from high-frequency returnsmorie_vol_noise
Parkinson range volatility estimatormorie_vol_parkinson
SABR model Black implied volatilitymorie_volsabr
Variance partition coefficient (latent-variable method)morie_vpc
Print step-by-step VPD GeoDASH download instructionsmorie_vpd_download_instructions
The Wald instrumental-variable ratio on a finite populationmorie_wald_iv
Walk-forward validation (ch. 5 p. 126)morie_walkfwd
AIC of a fitted model (Ch 13.6, wsmaic)morie_wasserman_aic
BIC of a fitted model (Ch 13.6, wsmbic)morie_wasserman_bic
AdaBoost.M1 with decision stumps (Ch 22, wsmbst)morie_wasserman_boosting
Bootstrap percentile interval (Ch 8, wsmbpc)morie_wasserman_bootstrap_percentile
Bootstrap pivotal interval (Ch 8, wsmbpv)morie_wasserman_bootstrap_pivotal
Empirical characteristic function (Ch 3, wsmcfn)morie_wasserman_char_fn
Chebyshev bound P(|X-mu| >= k sigma) <= 1/k^2 (Ch 4, wsmcby)morie_wasserman_chebyshev_ineq
Chi-square goodness-of-fit (Ch 10, wsmchi)morie_wasserman_chi_sq_gof
CLT standardised mean (Ch 5, wsmclt)morie_wasserman_clt
Covariance Cov(X,Y) = E[XY] - EXE[Y] (Ch 4, wsmcov)morie_wasserman_covariance
Cramer-Rao lower bound (Ch 9 Thm 9.23, wsmcrl)morie_wasserman_cramer_rao
Equal-tail credible interval (Ch 11, wsmbcr)morie_wasserman_credible_interval
Delta method standard error (Ch 5, wsmdlm)morie_wasserman_delta_method
Directed graphical model factorisation (Ch 17, wsmdir)morie_wasserman_directed_graph
DKW confidence band for F (Ch 7 Thm 7.5, wsmcb)morie_wasserman_dkw_cb
EM for a two-component normal mixture (Ch 9, wsmemt)morie_wasserman_em_algorithm
Empirical distribution function (Ch 7, wsmcdf)morie_wasserman_empirical_cdf
Empirical quantile, Hyndman-Fan type 1 (Ch 7, wsmqtl)morie_wasserman_empirical_quantile
Entropy in nats (Ch 23, wsment)morie_wasserman_entropy
Expectation E[X] = int x f(x) dx by trapezoid (Ch 3, wsmexp)morie_wasserman_expectation
Fisher information by numeric curvature (Ch 9, wsmfis)morie_wasserman_fisher_info
Gibbs sampler for a bivariate normal (Ch 24.4, wsmgib)morie_wasserman_gibbs_sampler
Two-component Gaussian mixture via EM (Ch 19, wsmgmm)morie_wasserman_gmm_em
Normalised clique-potential model with its mode (Ch 17, wsmgrp)morie_wasserman_graphical_model
HMM forward algorithm with per-step scaling (Rabiner 1989; Wasserman Ch 23 covers the underlying Markov chains) (wsmhmm)morie_wasserman_hmm_forward
Hoeffding bound for bounded variables (Ch 4, wsmhfd)morie_wasserman_hoeffding
Empirical influence via the sensitivity curve (Ch 7, wsmifn)morie_wasserman_influence_function
Nadaraya-Watson kernel regression (Ch 20 Def 20.21, wsmcrk)morie_wasserman_kernel_regression
K-fold cross-validated squared error (Ch 13.6, wsmcvr)morie_wasserman_kfold_cv
K-means by Lloyd's algorithm (Ch 19, wsmkmn)morie_wasserman_kmeans
Kullback-Leibler divergence (Ch 23, wsmkbk)morie_wasserman_kullback_leibler
Lasso by cyclic coordinate descent (Ch 13, wsmlas)morie_wasserman_lasso
Ordinary least squares with classical errors (Ch 13 Thm 13.4, wsmlsr)morie_wasserman_least_squares
Likelihood L(theta) = prod f(X_i; theta) (Ch 9, wsmlik)morie_wasserman_likelihood
Law of large numbers: running means (Ch 5, wsmlln)morie_wasserman_lln
Local polynomial regression (Ch 20, wsmlpr)morie_wasserman_local_polynomial
Log-likelihood with per-observation terms (Ch 9, wsmllk)morie_wasserman_log_likelihood
Saturated log-linear model for a two-way table (Ch 17, wsmlgc)morie_wasserman_log_linear
Logistic regression MLE by Newton-Raphson (Ch 13.7, wsmlgr)morie_wasserman_logistic_regression
Markov bound P(X >= a) <= EX/a for X >= 0 (Ch 4, wsmmrk)morie_wasserman_markov_ineq
Random-walk Metropolis sampler (Ch 24.3, wsmmcm)morie_wasserman_mcmc_metropolis
Empirical MGF M(t) = (1/n) sum e^{t X_i} (Ch 3, wsmmgf)morie_wasserman_mgf
Minimax value of a finite decision problem (Ch 12, wsmmin)morie_wasserman_minimax
MLE asymptotic standard error and Wald interval (Ch 9 Thm 9.18, wsmasm)morie_wasserman_mle_asymptotic
Mutual information of two discrete samples (Ch 23, wsmmtl)morie_wasserman_mutual_info
Nonparametric bootstrap standard error (Ch 8, wsmnpb)morie_wasserman_nonparametric_boot
Odds ratio with Woolf interval (Ch 16, wsmodd)morie_wasserman_odds_ratio
Parametric bootstrap (Ch 8, wsmprb)morie_wasserman_parametric_boot
Principal component analysis (Ch 14, wsmpca)morie_wasserman_pca
Poisson log-linear regression MLE (Ch 13, wsmpsr)morie_wasserman_poisson_regression
Grid posterior p(theta | x) (Ch 11, wsmbay)morie_wasserman_posterior
Posterior mean from a grid posterior (Ch 11, wsmpst1)morie_wasserman_posterior_mean
Relative risk with Katz interval (Ch 16, wsmrrr)morie_wasserman_relative_risk
Ridge regression (Ch 13, wsmrgr)morie_wasserman_ridge
Discrete smoothing spline (Ch 20.5, wsmsmp)morie_wasserman_smoothing_spline
Linear SVM by pairwise dual ascent (Ch 22, wsmsvm)morie_wasserman_svm
Exact undirected clique model (Ch 17, wsmund)morie_wasserman_undirected_graph
Variance Var(X) = E[X^2] - E[X]^2 (Wasserman Ch 3, morie.fn wsmvar)morie_wasserman_variance
Viterbi decoding in log space (Ch 23, wsmvit)morie_wasserman_viterbi
White-Huber sandwich covariance (Ch 9, wsmwhz)morie_wasserman_white_huber
Two-sample permutation test on the 1-Wasserstein distancemorie_wasserstein_test
Discrete wavelet decomposition for a time seriesmorie_wavelet_time_series
Resolve a Wayback Machine snapshot URL (via rmoriebricklayer)morie_wayback_url
Covariate-balancing propensity score (Imai & Ratkovic 2014)morie_weight_cbps
Balance diagnostics for a morie_weight objectmorie_weight_diagnostic
Entropy-balancing weights (Hainmueller 2012)morie_weight_entropy
Overlap weights (Li, Morgan & Zaslavsky 2018)morie_weight_ow
Propensity-score weights (logistic base learner)morie_weight_ps
Stabilized IPW (Austin 2009 / Robins et al. 2000)morie_weight_stabilized
SuperLearner-style ensemble propensity weightsmorie_weight_super
Trim extreme weights from a morie_weight objectmorie_weight_trimming
Weighted log-rank tests (Peto-Peto, Gehan-Wilcoxon, Tarone-Ware)morie_weighted_logrank
Balancing weights by WeightIt's rules, nativelymorie_weightit print.morie_weightit
Bootstrap replicate weights (Rao-Wu rescaling within strata)morie_weights_bootstrap
Balanced Repeated Replication (BRR) weightsmorie_weights_brr
Dispatch helper - calibrate to totals via "raking" or "greg"morie_weights_calibrate_to_totals
Combined design x nonresponse x post-strat (x trim) pipelinemorie_weights_combined
Kish design effect (n / ESS)morie_weights_deff
Design weights from inclusion probabilitiesmorie_weights_design
Detect extreme weights at +/- k * IQR or by absolute percentilemorie_weights_detect_extreme
Comprehensive weight diagnosticsmorie_weights_diagnostics
Kish effective sample size: (sum w_i)^2 / sum w_i^2morie_weights_ess
Fay's BRR weights with perturbation coefficient 'fay_coefficient' in [0,1)morie_weights_fay_brr
Generalised regression (GREG) calibrationmorie_weights_greg
Jackknife replicate weights (JK1 delete-1 or JKn stratified delete-n)morie_weights_jackknife
Multi-frame (dual-frame) survey weights (Hartley compositing)morie_weights_multiframe
Non-response adjustment within cellsmorie_weights_nonresponse
Normalise weights so they sum to n (sample) or N (population)morie_weights_normalize
Post-stratification weight adjustmentmorie_weights_poststratify
Propensity-score non-response weights (logistic)morie_weights_propensity_nonresponse
Raking calibration (iterative proportional fitting)morie_weights_rake
Variance estimation from replicate estimatesmorie_weights_replicate_variance
Successive Difference Replication (SDR) weightsmorie_weights_sdr
Smooth survey weights via shrinkage toward the mean (or log-mean)morie_weights_smooth
Spatial weights constantsmorie_weights_totals
Trim extreme weights at percentile cutpointsmorie_weights_trim
Welch's and Yuen's tests for two groupsmorie_welch_test morie_yuen_paired morie_yuen_test
Native Wilcoxon rank-sum permutation testmorie_wilcox_test
Monte-Carlo power of the Wilcoxon signed-rank test (Gibbons Ch 5.7.3)morie_wilcoxon_power
Wilcoxon signed-rank test (paired)morie_wilcoxon_signed_rank_test
Winkler interval score (ch. 17)morie_winkler
W-NOMINATE ideal points by alternating optimisationmorie_wnominate_fit
Write a Markdown audit reportmorie_write_audit_markdown
Write a data frame to Parquetmorie_write_parquet
Write synthetic epidemiology-style data to CSVmorie_write_synthetic_data
Admissibility of decision rules by risk dominancemorie_wsm_admissible
Baggingmorie_wsm_bagging
Bootstrap variance estimatormorie_wsm_bootstrap
Importance samplingmorie_wsm_importance_sampling
Kernel density estimate with Silverman's window-width rulesmorie_wsm_kde
Maximum likelihood as an M-estimatormorie_wsm_mle
Plug-in estimator of a statistical functionalmorie_wsm_plug_in
XGBoost regularized objective (R parity)morie_xgboost_objective
Parse XML natively with SAX-style callbacks (pure R)morie_xml_sax
Cross-population EHH (XP-EHH)morie_xpehh1
Yang et al. realized relationship matrixmorie_yangr
Yule-Walker AR estimationmorie_yule_walker
Zero-altered Poisson modelsmorie_zap_link morie_zap_loglik morie_zap_mean_variance morie_zap_mle morie_zap_predict morie_zero_altered_poisson
Vuong's test of zero-inflated against plain Poisson at the boundarymorie_zip_vuong_boundary
Zonal energy-balance model (Budyko-Sellers)morie_zonal_ebm
Conditional p-value for the CLR statisticMorieclrp
Morphological openingMorphologicalOpening
FIMO-style position weight matrix scanMotfom
motfsr_alphabet_ofmotfsr_alphabet_of
motfsr_bayes_thresholdmotfsr_bayes_threshold
motfsr_cheatsheetmotfsr_cheatsheet
motfsr_lambda_gridmotfsr_lambda_grid
motfsr_log_componentmotfsr_log_component
motfsr_log_odds_matrixmotfsr_log_odds_matrix
motfsr_mm_fitmotfsr_mm_fit
motfsr_mumotfsr_mu
motfsr_normalise_windowsmotfsr_normalise_windows
motfsr_preparemotfsr_prepare
motfsr_runmotfsr_run
motfsr_score_sequencemotfsr_score_sequence
motfsr_theta_from_subsequencemotfsr_theta_from_subsequence
motfsr_uniform_thetamotfsr_uniform_theta
Moth-flame optimizationMothFlameOptimizer
mpfn_cheatsheetmpfn_cheatsheet
mpfn_is_permutation_invariantmpfn_is_permutation_invariant
mpfn_messagempfn_message
mpfn_message_passingmpfn_message_passing
mpfn_readoutmpfn_readout
mpfn_sigmpfn_sig
mpfn_update_grumpfn_update_gru
mqtmpl_cheatsheetmqtmpl_cheatsheet
mqtmpl_check_methodmqtmpl_check_method
Qk left, qk+1 rightmqtmpl_genotype_probabilities
mqtmpl_haldanemqtmpl_haldane
mqtmpl_hmm_genotype_probabilitiesmqtmpl_hmm_genotype_probabilities
mqtmpl_imputation_weightsmqtmpl_imputation_weights
mqtmpl_kw_n_impmqtmpl_kw_n_imp
mqtmpl_lod_support_intervalmqtmpl_lod_support_interval
mqtmpl_method_statusmqtmpl_method_status
mqtmpl_permutation_thresholdmqtmpl_permutation_threshold
mqtmpl_sample_genotypesmqtmpl_sample_genotypes
mqtmpl_scan_cimmqtmpl_scan_cim
mqtmpl_scan_impmqtmpl_scan_imp
mqtmpl_scanonemqtmpl_scanone
mqtmpl_single_markermqtmpl_single_marker
Admissions implied by a population and a length of staymrm_admissions
Average daily populationmrm_adp
Person-days estimated from periodic headcountsmrm_adp_from_counts
Average length of staymrm_alos
One-way ANOVA with pairwise Bonferroni-adjusted t-testsmrm_anova_bonferroni
One-way ANOVA + Tukey HSD post-hocmrm_anova_oneway
Power of one-way ANOVA given Cohen's fmrm_anova_power
Composite Rubin-style identifiability assumption checkmrm_assumptions_check
Designed-experiment convenience wrapper around the morie causal estimator familymrm_causal_design
Composite balance verdict using the Imbens-Rubin %SMD criterionmrm_check_balancing
Propensity-score support overlap diagnostic (Cole-Hernan 2008)mrm_check_overlap
Mandela Rules classifier for solitary-confinement placementsmrm_classify_mandela
Central Limit Theorem demonstratormrm_clt_demo
Experimental-design callables (designexptr-inspired)mrm_design
Causal-inference diagnostics (R parity)mrm_diagnostics
Design-of-Experiments toolkit (R parity)mrm_doe
2^k factorial-design analysis with main effects + interactionsmrm_factorial_2k
Fractional 2^(k-p) factorial: main effects + alias structuremrm_fractional_factorial
Baseline-conditional gentrification coding (MRM primitive)mrm_gentrification
Construct a baseline-conditional 3-level gentrification factormrm_gentrification_panel
Graeco-Latin square four-way ANOVA (row, col, Latin, Greek)mrm_graeco_latin
Kulldorff space-time scan statistic on TPS event datamrm_kulldorff
Latin-square three-way ANOVA (row, col, treatment)mrm_latin_square
LISA (Local Indicators of Spatial Association) on polygon-level crime data + per-year polygon Moran's I time seriesmrm_lisa
Mathematical-statistics / simulation / computation toolkit (R parity)mrm_mathstats
Empirical Monte-Carlo powermrm_mc_power
Median causal effect via 1:1 nearest-neighbour PS matchingmrm_median_causal_effect
Moran's I statistic for residual spatial autocorrelationmrm_morans_i
One-proportion test (binomial exact + Wald approximation)mrm_oneprop_test
MRM-framework analyses on Ontario OTIS datamrm_otis
Mandela Rules apples-to-apples spectrum on OTIS b01mrm_otis_mandela_spectrum
Pairwise Cramer's V of OTIS b01 alert columns (mortification proxy)mrm_otis_mortification_cooccurrence
Per-individual segregation-placement-count concentration on OTIS b09mrm_otis_placement_concentration
OTIS b01 region locality: chi-square + diagonal-sharemrm_otis_region_locality
Kaplan-Meier survival on OTIS b01 segregation-placement durationsmrm_otis_seg_duration_km
Stock and flow across the OTIS stratamrm_otis_stock_flow
Period length in days, from datesmrm_period_days
Block-permutation test for treatment effectmrm_perm_block
Probability Integral Transform (PIT)mrm_pit
Threshold-specific ordinal-logit primitive (MRM)mrm_primitives_ordinal
Q-Q plot coordinates against a reference distributionmrm_qq_plot
Generate a random k x k Latin squaremrm_random_latin
Randomised complete block design (RCBD) two-way ANOVAmrm_rcbd
Second-order response-surface fit (Box-Wilson 1951)mrm_response_surface
Included reference data samples and dataset fetchersmrm_samples
MRM-framework analyses on Ontario SIU (Special Investigations Unit) datamrm_siu
KM survival of SIU case-to-decision gap per police servicemrm_siu_case_to_decision_km
Tabulate SIU Director's-decision outcomesmrm_siu_outcome_classifier
Per-police-service SIU case-rate summarymrm_siu_per_service_rate
Spatial Durbin / SAR direct-indirect-total decomposition (MRM primitive)mrm_spatial_spillover
SDM direct / indirect / total decompositionmrm_spatial_spillover_decomposition
Imbens-Rubin standardised %SMD per covariatemrm_standardised_difference
Length of stay with its distribution and intervalmrm_stay_summary
Stock and flow side by side, with the decompositionmrm_stock_flow
Compute the synthetic exposure offset for each areamrm_synthetic_area_exposure
Synthetic small-area-estimated exposure offset (MRM primitive)mrm_synthetic_exposure
Extract coefficient(s) for one covariate across all thresholdsmrm_threshold_coefficient
Fit a threshold-specific cumulative-logit ordinal regressionmrm_threshold_specific_ordinal
MRM-framework analyses on Toronto Police Service (TPS) open datamrm_tps
Run a 3-d (lat, lon, time) Kulldorff scan with MC inferencemrm_tps_kulldorff_scan
Levy-flight Hill-MLE exponent on TPS inter-incident step lengthsmrm_tps_levy_scaling
Local Moran's I per polygon + quadrant + 999-permutation significancemrm_tps_lisa
Load the precomputed per-category TPS Hawkes refit manifestmrm_tps_load_hawkes_refit
Global Moran's I + DBSCAN summary on TPS lat/long event datamrm_tps_moran_clustering
Kaplan-Meier inter-event recurrence on TPS by neighbourhoodmrm_tps_neighbourhood_recurrence_km
Per-year global Moran's I time series across a polygon surfacemrm_tps_polygon_moran_per_year
Two-treatment outcome comparison with three assumption regimesmrm_two_treatment_test
Two-proportion test (chi-square + Fisher exact + Wald)mrm_twoprop_test
Generic Multilevel Reconciliation Methodology (MRM) Use-of-Force callablesmrm_uof
Schema, null, and suspect-value auditmrm_uof_data_quality_audit
Demographic disparity in outcome rates with risk-ratio CIsmrm_uof_demographic_disparity
Concentration of UoF incidents across forces / servicesmrm_uof_force_concentration
Region-at-time vs region-now locality contingencymrm_uof_region_locality
Weapon-by-force contingency testmrm_uof_weapon_diversity
Year-on-year change in incident countsmrm_uof_yoy_change
Chi-square test for variance (Wilks 1962)mrm_var_test
Rank-based score that only cares where the first hit landsMrr
Impute the untreated counterfactual panel by nuclear-norm completionMscmcl
Mean squared error of a set of predictionsMsetst
Manski no-assumption ATE bounds computed within covariate strataMskbnd2
Statistical learning model, systematic plus random partMsm001
Single-mean model for a one-way layoutMsm002
One-way fixed-effects modelMsm003
eq. (1.3) p.16 (re-export)Msm004
Reparameterized one-way modelMsm005
One-way random-effects (mixed) modelMsm006
Generalized precisionMsm007
Generalized sensitivity and specificityMsm008
Brier score for categorical dataMsm009
General univariate linear mixed modelMsm010
Marginal likelihood of the linear mixed modelMsm011
eq. (5.2) p.142 (re-export)Msm012
eq. (5.1) p.142 (re-export)Msm013
eq. (5.1) p.142 (re-export)Msm014
eq. (5.1) p.142 (re-export)Msm019
Multi-trait genomic linear mixed modelMsm026
eq. (5.1) p.142 (re-export)Msm027
Multi-trait model with extra fixed effectsMsm028
eq. (5.5) p.153 (re-export)Msm029
eq. (5.5) p.153 (re-export)Msm030
eq. (5.5) p.153 (re-export)Msm031
Normal linear regression under the Bayesian paradigmMsm042
Non-informative prior for the linear modelMsm043
eq. (6.1)-(6.2) pp.172 (re-export)Msm044
eq. (6.1)-(6.2) pp.172 (re-export)Msm045
eq. (6.2) p.172 (re-export)Msm047
eq. (6.1)-(6.2) pp.172 (re-export)Msm057
eq. (6.1)-(6.2) pp.172 (re-export)Msm058
eq. (6.1)-(6.2) pp.172 (re-export)Msm059
eq. (6.1)-(6.2) pp.172 (re-export)Msm060
eq. (6.2) p.172 (re-export)Msm077
eq. (1.2) p.15 (re-export)Msm083
eq. (1.2) p.15 (re-export)Msm084
Ordinal latent predictor with environment, markers and interactionMsm092
eq. (7.3) p.219 (re-export)Msm093
eq. (7.3) p.219 (re-export)Msm097
Ordinal predictor with environment and genetic effectsMsm098
eq. (7.3) p.219 (re-export)Msm099
eq. (7.5) p.221 (re-export)Msm101
eq. (7.5) p.221 (re-export)Msm102
eq. (7.3) p.219 (re-export)Msm103
Penalized multinomial log-likelihood (ridge)Msm109
eq. (7.7) p.226 (re-export)Msm111
eq. (7.7) p.226 (re-export)Msm114
Lasso-penalized multinomial log-likelihoodMsm115
eq. (7.7) p.226 (re-export)Msm117
eq. (7.7) p.226 (re-export)Msm118
eq. (7.10) p.227 (re-export)Msm119
RKHS optimization problemMsm123
eq. (8.1) p.253 (re-export)Msm124
eq. (8.1) p.253 (re-export)Msm127
RKHS estimation in the frequentist frameworkMsm128
eq. (8.3) p.254 (re-export)Msm129
eq. (8.3) p.254 (re-export)Msm130
eq. (8.3) p.254 (re-export)Msm133
eq. (8.3) p.254 (re-export)Msm134
eq. (1.2) p.15 (re-export)Msm159
eq. (1.2) p.15 (re-export)Msm160
eq. (1.3) p.16 (re-export)Msm236
eq. (1.3) p.16 (re-export)Msm237
eq. (1.3) p.16 (re-export)Msm238
eq. (1.3) p.16 (re-export)Msm239
Sum-of-squares lossMsm249
Basis expansion of the coefficient function (MVSML eq. 14.2)Msm262
eq. (1.2) p.15 (re-export)Msm315
eq. (1.2) p.15 (re-export)Msm316
eq. (1.2) p.15 (re-export)Msm317
eq. (1.2) p.15 (re-export)Msm318
eq. (1.2) p.15 (re-export)Msm319
eq. (1.2) p.15 (re-export)Msm320
eq. (1.2) p.15 (re-export)Msm321
eq. (1.2) p.15 (re-export)Msm322
Nonparametric links of the zero-altered Poisson forestMsm323
eq. (15.1) p.651 (re-export)Msm324
Zero-truncated Poisson splitting criterionMsm325
eq. (15.2) p.651 (re-export)Msm326
ZAP random-forest predictionMsm327
eq. (15.3) p.652 (re-export)Msm328
ZAPC random-forest predictionMsm329
eq. (15.4) p.652 (re-export)Msm330
eq. (15.4) p.652 (re-export)Msm331
Linear multiple regression fitted by OLSMsm332
eq. (3.1) p.71 with the OLS solution pp.72-73 (re-export)Msm333
Expected prediction error of the OLS fitMsm334
mtdrl_bandit_tasksmtdrl_bandit_tasks
mtdrl_cheatsheetmtdrl_cheatsheet
mtdrl_history_featuresmtdrl_history_features
mtdrl_runmtdrl_run
mtdrl_TabularHistoryAgentmtdrl_TabularHistoryAgent
Multi-trait linear mixed modelMtlmmfit
Manski-Pepper monotone treatment response bounds, either directionMtrbnd
Monotone treatment response boundsMtrbound
Monotone treatment selection bounds (alias of Mtsbound)Mtsbnd
Monotone treatment selection boundsMtsbound
Intersection of the MTS and the MTR bound on E[Y(d)]Mtsmtv
Multinomial theorem expansionMultiExp
Multinomial coefficientMultinom
Multinomial distributionMultinomialDist
Specific and joint natural indirect effects through parallel mediatorsMultM
MUSCLE-style multiple sequence alignmentMuscleAlign SumOfPairsScore
Mutual information of a 2-D joint pmfMutinf
Mean of the linear model outputMuY
muzero_add_noisemuzero_add_noise
muzero_backupmuzero_backup
muzero_cheatsheetmuzero_cheatsheet
muzero_gamma_rvmuzero_gamma_rv
muzero_MinMaxmuzero_MinMax
muzero_Nodemuzero_Node
muzero_searchmuzero_search
muzero_selectmuzero_select
Multivariate normal densityMvNormDens
Multivariate skew-normal densityMvSkewNorm
Multivariate t densityMvtDens
MuZero n-step bootstrapped value targetsMznstep
MuZero pUCT action selection with min-max normalised valuesMzpuct
MuZero Reanalyze targets and prioritised-replay weightsMzreanal
MuZero recurrent inference stepMzrecur
MuZero categorical value head and its invertible scalingMzvalue
MuZero world model: representation plus dynamics rolloutMzworld
Effective number of independent tests from a correlation matrixn_effective_tests
Total number of registered commands (excluding aliases)n_stat_commands
Nadaraya-Watson kernel regression (alias of hrzk2)Naday
Nadaraya-Watson and local linear kernel regression (ESL eqs. 2.40-2.42)Nadwat
Naive forecastNaivefc
Nakagami distributionNakagami
Climate indices and CO2 curve fittingCo2CurveFit NaoStationIndex
Natural-neighbour interpolation (Sibson and Laplace coordinates)NaturalNeighbourWeights NnCrossValidation NnGradientInterpolate NnInDomain NnInterpolate
Normalised discounted cumulative gain at kNdcg
Pearl's natural direct effect, estimated from a linear SEMNde
Effective simple-random-sample size of a weighted designNeffsrs
Fit the effect of D on a known-null outcome and test it for zeroNegctc
Neighbour counts and their frequency tableNeighbourCardinality
Nelder-Mead simplex minimisationNelderMead
Nested cross-validation with inner-loop grid searchnested_cross_validate
Variance components of a two-stage nested designnestvc
Error and attack tolerance of a networkNetattack
Freeman betweenness centrality of a nodeNetbtw
Closeness centrality of a node (re-export)Netclocent
Freeman degree centrality of a node, normalisedNetdeg
Eigenvector centrality of a network (re-export)Neteigcent
Network attributable fraction with spilloverNetparf
Newton-Raphson minimisationNewraf
Neyman-Scott cluster process: moments and simulationNeymanScottProcess
Normalized gamma process prior (the Dirichlet process)Ngppr
Nakagawa-Schielzeth marginal R-squared for a random-intercept LMMNiccgg
Natural indirect effect (Pearl 2001)Nie
Conjugate N-Inv-chi2 posterior update for a normal sampleNignst
Nonlinear least squares by Gauss-Newtonnlsgn
Border-corrected nearest-neighbour distance CDF G(r)Nndist
Single-layer feed-forward network as an adaptive basis expansion (ESL 2.45)Nnet1lay
Non-negative least squaresnnlsq
Number of observations in method for 'morie_lm' objectsnobs.morie_lm
node2v_alpha_pqnode2v_alpha_pq
node2v_cheatsheetnode2v_cheatsheet
node2v_distnode2v_dist
node2v_skipgram_pairsnode2v_skipgram_pairs
node2v_transition_probabilitiesnode2v_transition_probabilities
node2v_walknode2v_walk
Linear noise schedule, scaled downnoise_schedule
Run a suite of normality testsnormality_suite
Sequential Gaussian and indicator simulationBackTransform MarkovChainSimulate NormalScore SgsCrossValidation SgsSimulate SimulationSummary SisSimulate TransitionMatrix
Normalised Laplacian in Chung's senseNormlap
Tolerance factor for normally distributed populationsnormtl
How surprising a recommendation is, in bitsNovlt
Posterior-mode partition of a Dirichlet-process normal mixtureNpbcl
Cox regression with a gamma-process baseline hazardNpbcox
Quantile regression with a Dirichlet-process scale mixtureNpbqr
Nonparametric Bayes survival via a beta processNpbsr
Additive forecast decomposition: trend, seasonality, autoregressionNprphet
Mean functional of a normalized random measureNrgmwd
Normalized inverse-Gaussian processNrmprc
Sample size for a stated half-width, with the finite-population stepNsamp
Sample size for testing Kendall's tau (Noether)ntrtau
Nucleolus and prenucleolus of a transferable-utility gameNucleolus
Number needed to harm (NNH) - sign-reversed NNTnumber_needed_to_harm
Number needed to treat (NNT) = 1 / |RD|number_needed_to_treat
Nadaraya-Watson kernel regressionnw_regression
Nystrom low-rank approximation of a kernel matrixNystromap
Individual fairness audit against a Lipschitz constraintObjfair
Marine remote sensing and ocean physicsBareSoilIndex Co2Flux DepthInvariantIndex EuphoticDepth FloatingAlgaeIndex MangroveVegetationIndex OceanChlorophyll OilSpillDrift OxygenSolubility PlumeConcentration PracticalSalinity SedimentTransport SplitWindowSst VgpmProduction
Outcome-model diagnostic for a marginal structural modelOcmtmd
ocrwit_cheatsheetocrwit_cheatsheet
ocrwit_mask_unitsocrwit_mask_units
ocrwit_normalise_bboxocrwit_normalise_bbox
ocrwit_patch_of_boxocrwit_patch_of_box
ocrwit_segment_layout_boxesocrwit_segment_layout_boxes
Odds ratio for a 2x2 table [[a, b], [c, d]]odds_ratio
Odds-ratio table from a fitted logistic GLModds_ratio_table
Odds ratio by Woolf's logit method (Woolf 1955) - NOT from GibbonsOddsrat
Cross-product odds ratio for a 2 x 2 table, with a Woolf intervalOddsRat
offlrl_as_distofflrl_as_dist
offlrl_cheatsheetofflrl_cheatsheet
offlrl_logsumexpofflrl_logsumexp
offlrl_lookupofflrl_lookup
offlrl_safe_max_keyofflrl_safe_max_key
offlrl_softmaxofflrl_softmax
Orthogonalized Gnanadesikan-Kettenring robust scatterOgkcv
Read assembly and protein disorderOlcAssembly ProteinDisorder
Linear model fit by least squares (ESL eq. 2.6)Olsfit
Ordinary least squares through the normal equationsOlsnormeq
Omega-squared - less biased than eta-squaredomega_squared
Share of total score variance due to the single general factorOmegah
Omitted-variable bias analysis (sensemakr framework)omitted_variable_bias
One-sample z-test for a proportionone_proportion_ztest
One-sample Student's t-testone_sample_ttest
One-way between-subjects ANOVAone_way_anova
The (1 - x)^n to e^(-nx) step of the Poisson limitOneMExp
Climate indices: ONI, PDO, QBO, degree heating weeks, cyclone energy, Hadley edge, scaling and downscalingBcsdDownscale CcScaling CycloneEnergy DegreeHeatingWeeks EmpiricalQuantileMap HadleyEdge HurricaneTrack OniIndex PdoIndex ProbabilityRatio QboIndex SeaLevelSemiEmpirical
Open a sealed recordopen_record
Arithmetic on dual numbersOps.morie_gr_dual
Arithmetic on reverse-mode tape nodesOps.morie_gvar
Release time maximising utilityoptimal_duration
Roll-call analysisOptimalCuttingLines
Optimal treatment regime by exhaustive tree searchOpttre
Convert odds ratio to Cohen's d (Hasselblad & Hedges, 1995)or_to_d
Convert OR to Pearson r via dor_to_r
Ordered logistic distributionOrderedLogis
Category probabilities of the ordinal threshold modelOrdprobs
Ordered sampling with replacementOrdRep
Ordered subgroups without repetitionOrdSubs
Odds ratio with an interaction termOrInt
Average measures the way transport says they should be averagedOtbar
Barycentre whose support is found rather than fixed in advanceOtbarfree
Barycentric projection of a transport planOtbarmap
Alternate KL projections of a Gibbs kernel onto the two marginalsOtbreg
l_p ground cost matrixOtcostlp
Squared-Euclidean ground cost matrixOtcostsq
Test whether a matching can be improved by re-shuffling a cycleOtcw
Entropic transport cost with its own bias subtracted offOtdiv
Rescale a positive matrix to doubly stochastic formOtdwd
Exact earth mover's distance between two histogramsOtemd
Entropic regularisation term of a couplingOtentreg
One coupling that has to satisfy the features and the structure at onceOtfgw
Primal-dual gap of the entropic OT problemOtfreeen
Couple two spaces that have no common ground metricOtgws
Transport in a feature space, with the cost read off a kernelOtker
Dual potentials from Sinkhorn scalingsOtlogpot
Solve transport once part of the source marginal has been deletedOtmarsh
Lloyd's algorithm with transport in place of Euclidean distanceOtmcluster
Ground cost that measures distance in units of the data's own spreadOtmd
Average the transport cost over subsamples instead of solving onceOtmm
Couple more than two histograms at onceOtmot
Distortion of a codebook, computed as transport to its atomsOtmqd
Take the worst direction rather than the average oneOtmsw
Transport between mixtures, restricted to plans that stay GaussianOtmxh
Discrete entropy of a coupling matrixOtnegent
Value of the dual objective for a candidate pair of potentialsOtotk
Transport only 'm' units of mass and leave the rest in placeOtpr
Push-forward of a density through a smooth bijective mapOtpushfw
Dual potentials of the entropic transport problemOtreg
Sliced distance computed on a shared quantile gridOtsd
Entropic-regularised OT by Sinkhorn scalingOtsinkh
Iterations Sinkhorn needs to reach a marginal toleranceOtsinkit
Marginal violation of a coupling, in the sup normOtsinktol
Replace W_1 by a Hilbert norm on the difference of the measuresOtsobm
Soft assignment matrix from an entropic transport planOtsoftas
Average the one-dimensional distance over many directionsOtsw
Transport between histograms of unequal massOtunbal
Optimal transport cost on the line, which needs no solverOtws
Wasserstein distance on the line, by sortingOtws2
Wasserstein distance between Gaussians, without solving anythingOtwsg
Outbreak detection by online changepoint analysis of countsOutbrkdet
MAD-median outlier ruleOutmad
Outliers by robust Mahalanobis distanceOutMah
Mean/standard-deviation outlier ruleOutms
Split coordinates into outlier and non-outlier sets, bits allocated apartOutsplit
Omitted variable bias, classical and partial-R2 formOvbias
Oster bound on bias from omitted variablesOvbnk
Outcome-weighted learning for an optimal treatment regimeOwltrn
Piecewise aggregate approximationPaa
Page-Hinkley sequential test for a shift in the meanPagehink
PageRankPagrk
Paired permutation test (sign-flipping)paired_permutation_test
Paired-sample t-testpaired_ttest
ALiBi attention with per-head linear positional biasPaligi
And-rule for independent eventsPandInd
Post-minus-pre panel differencespanel_differences
Panel binary choice modelsPanelBinaryChoice
Panel-data diagnosticsBaltagiLiTest ConleyVcov CrossSectionDependence PanelResiduals PanelSerialTest PanelVarianceComponents PanelWithin UnobservedEffectsTest
Papadakis nearest-neighbour adjustment for field trialspapadk
Compare parametric survival families by information criterionmorie_survival_compare_parametric Paracompare
Parametric bootstrapparametric_bootstrap
Parametric survival fit by maximum likelihoodmorie_survival_parametric Parasurv
Population attributable fraction (Levin)Pareff
Partial Pearson correlation controlling for covariatespartial_correlation
Partial eta-squaredpartial_eta_squared
Partisan symmetry, swing, competitiveness and disproportionalityDisproportionality DistrictCompetitiveness ElectoralSwing Malapportionment PartisanGerrymanderMeasures
Meyer and Miller (2015) nicheness of the parties in one electionPartyNicheness
Party positionsPartyPositions
Party systems and roll-call utilitiesPartyDivergence PartySystemIndices RollcallFilter RollcallMatrix RollcallSummary
Pascal's addition rulePascalId
Landscape metrics of categorical rasters (FRAGSTATS, landscapemetrics conventions)ClassMetrics LandscapeMetrics PatchMetrics
Further FRAGSTATS landscape metrics: shape, core, proximity and information theoryClassStructure LandscapeInformation PatchStructure ProximityMetrics
Percentile bootstrap interval from ordered bootstrap valuesPBCI
Burg autoregressive power spectral densitypburg
Principal component compression of a marker matrixPcadim
EIGENSTRAT principal components of a genotype matrixPcasnps
p-center locationPCenter
Pair correlation function g(r) from the derivative of Ripley's KPcfunc
PCG Shannon-energy envelopepcgenv
PCG murmur likelihood scorepcgmur
PCG S1/S2 heart-sound segmentationpcgseg
Pearson chi-square test of normalitypchnrm
Pearson product-moment correlationpearson_correlation
Sample correlation, its t test, and a Fisher-z intervalPearsonr
PELT changepoint detection (pruned exact linear time)Pelt
PERMANOVA pseudo-F from a distance matrixPermanova
Permutation-based FDR control via empirical null p-value distributionpermutation_fdr
Permutation-based FWER control via step-down max-T (Westfall-Young)permutation_fwer
Two-sample permutation testpermutation_test
Perplexity of a language modelPerplex
Perturbation of one composition by anotherPerturb
Pettitt's non-parametric single change-point testPettitt
Pettitt non-parametric change-point detectionpettitt_changepoint
Petrosian fractal dimensionpfd
Stationary importance of a node under a random surferPgrank
Atmospheric dispersion: Pasquill-Gifford sigmas, Briggs plume rise, Gaussian plume and puff, Eulerian and Lagrangian modelsAdvectionDiffusion2d BriggsPlumeRise GaussianPlume GaussianPuff LagrangianParticles PgSigmas
Proportional-hazards assumption test (Schoenfeld-style)ph_assumption_test
Normalise a phenotype, then flag what is still extremePheno2
Phi coefficient for a 2x2 contingency tablephi_coefficient
Root-to-tip regression dating (TempEst)Phylog
Neighbor-joining phylogenetic tree (Saitou-Nei 1987)Phylotr
Evaluate the piecewise-linear trend (Eq. 4 of Taylor & Letham 2018)piecewise_trend
Effect of shifting the exposure distribution, not eliminating itPiepar
Intersection of k independent events of common probabilityPiidInt
Pivoted (incomplete) Cholesky factorisationPivotedCholesky
Pre-period placebo DiDplacebo_did
Plackett's bivariate distributionplackt
Planck blackbody spectral radiance, wavelength formPlncf
Plot method for 'morie_bayes_fit' objectsplot.morie_bayes_fit
Default 2-D cluster plotplot.morie_cluster
Default diagnostic plot for a morie_lmplot.morie_lm
Default plot for morie rich-result objectsplot.morie_rich_result
Plot method for 'morie_spatial' objectsplot.morie_spatial
Plot method for 'morie_ts_forecast' objectsplot.morie_ts_forecast
Hotelling-Downs plurality competition on a linePluralityCompetition
Indirect effect divided by an independently supplied totalPmedex
p-median locationPMedian
Variance of a discrete pmfPmfVar
Principal Neighbourhood Aggregation (Corso et al. 2020, eq. 7)PnaAgg
Point-biserial correlationpoint_biserial_correlation
Deviance and Pearson goodness of fit for a Poisson regressionPoisdev
Pitman-Yor stick-breaking weights and the Gibbs factor V_{n,k}Poisdir
Exact Poisson intervalPoisExactCI
Gaussian limit of the Poisson distributionPoisGauss
Poisson loss for count outcomesPoislo
Mean of the Poisson distribution by its seriesPoisMean
Mode of the Poisson distributionPoisMode
Poisson normalisation via the exponential seriesPoisNorm
Peak height of the Poisson distributionPoisPeak
Penalized Poisson log-linear regressionPoispen
Poisson probability mass functionPoisPmf
Conjugate Poisson analysis with its negative-binomial predictivePoispred
Poisson-gamma empirical Bayes relative risksPoissonGammaEb
Log-linear Poisson point process: Berman-Turner fit and simulationPoissonProcessFit
Poisson-Stirling pmf in centred variablesPoisStirC
Poisson pmf under Stirling's factorial approximationPoisStirl
The Poisson pmf sums to onePoisSum1
Variance of the Poisson distribution by its seriesPoisVar
Poisson probability of no eventsPoisZero
Polarization indicesEarthMoversDistance EstebanRayIndex IssueConstraint PolarizationIndices PolarizationTrend
Polarization measuresPolarizationMeasures
Equilibrium of two policy-motivated candidates under electoral uncertaintyPolicyMotivatedEquilibrium
Numerical and discrete algorithmsLegendrePolynomials LogitProportion McStandardError PanterDiteBound PolarTransform PollardRho ResolutionRefutation
Proportional odds model by maximum likelihoodPolrFit
Vector and raster geoprocessingElevationProfile PolygonArea PolygonBoolean ProximityBands
Polygon compactnessPolygonCompactness
Contiguity neighbours of polygonsPolygonContiguity
Polynomial kernel matrixPolykern
Population density surfacePopulationDensitySurface
Population variance of a data setPopVar
DDPM posterior meanposterior_mean
Post-stratification as a weight adjustmentPostrt
Post-stratified estimator of a population meanPoststs
Potts and Ising lattice modelsPottsExact PottsGibbs
Power function distributionPowerDist
Voting power indicesPowerIndices
Power a composition by a real scalarPowering
Gaussian field with a prescribed power spectrum by FFT filteringPowerLawField
Power analysis for t, proportion and ANOVA F testsCalculateInteractionPower PowerAnova PowerPropTest PowerTTest
Second-order (1+a)^n approximationPowExpAp2
First-order (1+a)^n approximationPowExpApx
The (1+a)^n product expansion from the log seriesPowLogSer
Power of a two-sided test under a complex survey designPowsrv
Posterior predictive p-value comparing T(y, theta) to T(y_rep, theta)Ppcrep
Posterior predictive mean, sd and interval from replicated datasetsPpmean
PPS design quantities for a frame of unitsPpsamp
Draw n units with probability proportional to size, and estimatePpssamp
Phillips-Perron test for a unit root, trend includedPptest
Phillips-Perron unit-root test with an explicit trend switchPptrend
Phillips-Perron unit-root testPpunit
Precision at kPrecK
Genomic selection accuracy: Pearson correlation of observed and predictedPredacc
Expected code length of a predictive model (the wrong-code bound)Predcomp
Assign new data to existing clusters without re-fittingpredict.morie_cluster
Predictions from a native generalized additive modelpredict.morie_gam
Predict from a morie_lm, optionally with intervalspredict.morie_lm
Predict from a trained modelpredict.morie_ml_fit
Prediction interval for a new study (random-effects meta)prediction_interval
Evaluate a Polish-notation expression, right to leftPrefixev
Specific and total indirect effects with percentile bootstrap CIsPrehay
Prevalence ratioPrevratio
Print method for 'morie_arsau_analysis_result' objectsprint.morie_arsau_analysis_result
Print method for 'morie_arsau_result' objectsprint.morie_arsau_result
Print method for audit resultsprint.morie_audit_result
Print method for 'morie_bayes_fit' objectsprint.morie_bayes_fit
Print method for 'morie_city_profile' objectsprint.morie_city_profile
Print method for 'morie_cluster' objectsprint.morie_cluster
Print method for 'morie_cluster_spec' objectsprint.morie_cluster_spec
Print method for 'morie_distribution' objectsprint.morie_distribution
Print method for 'morie_dml_clustered' objectsprint.morie_dml_clustered
Print method for 'morie_eda_table' objectsprint.morie_eda_table
Print method for 'morie_fairness_result' objectsprint.morie_fairness_result
Print method for 'morie_hawkes_fit' objectsprint.morie_hawkes_fit
Print method for 'morie_hawkes_st_fit' objectsprint.morie_hawkes_st_fit
Print method for 'morie_laniyonu_ard_result' objectsprint.morie_laniyonu_ard_result
Print method for 'morie_laniyonu_gp_result' objectsprint.morie_laniyonu_gp_result
Print method for 'morie_laniyonu_smi_result' objectsprint.morie_laniyonu_smi_result
Print method for 'morie_lm' objectsprint.morie_lm
Print method for 'morie_lm_spec' objectsprint.morie_lm_spec
Print a morie mixed modelprint.morie_lmm
Print method for 'morie_ml_fit' objectsprint.morie_ml_fit
Print method for 'morie_ml_model' objectsprint.morie_ml_model
Print method for 'morie_ml_recipe' objectsprint.morie_ml_recipe
Print method for 'morie_ml_split' objectsprint.morie_ml_split
Print method for 'morie_mrm_result' objectsprint.morie_mrm_result
Print method for 'morie_mrm_uof_result' objectsprint.morie_mrm_uof_result
Print method for 'morie_multiple_testing_result' objectsprint.morie_multiple_testing_result
Print method for 'morie_otis_analysis_result' objectsprint.morie_otis_analysis_result
Print method for 'morie_otis_result' objectsprint.morie_otis_result
Print method for 'morie_semipar_kernels' objectsprint.morie_semipar_kernels
Print method for 'morie_spatial' objectsprint.morie_spatial
Print method for 'morie_stat_command' objectsprint.morie_stat_command
Print method for 'morie_test_result' objectsprint.morie_test_result
Print method for morie tokenizerprint.morie_tokenizer
Pretty-print method for 'morie_tps_result' objectsprint.morie_tps_result
Print method for 'morie_tps_spatial_advanced_result' objectsprint.morie_tps_spatial_advanced_result
Print method for 'morie_tps_spatial_result' objectsprint.morie_tps_spatial_result
Print method for 'morie_tps_stochastic_result' objectsprint.morie_tps_stochastic_result
Print method for 'morie_tps_temporal_result' objectsprint.morie_tps_temporal_result
Print method for 'morie_ts_forecast' objectsprint.morie_ts_forecast
Print method for 'morie_ts_model' objectsprint.morie_ts_model
Print method for taxonomy entriesprint.morie_variable_taxonomy
Print a morie mixed-model summaryprint.summary.morie_lmm
PageRank - alias of 'Pgrank'Prnkpg
Probabilistic (Monte Carlo) sensitivity analysisprobabilistic_bias_analysis
Probabilistic voting and candidate competitionBaronFerejohn CandidateEquilibrium HotellingPriceLocation KalaiSmorodinsky PcaIdealPoints ProbabilisticVote SalopCircle VoteTradingRikerBrams
Probability krigingProbabilityKriging
Procrustes analysis (vegan procrustes and protest conventions)GeneralizedProcrustes ProcrustesFit
Oblique Procrustes rotation and configuration orientation checksMdsAnisotropy MdsFlip MdsPolarity MdsReflect ProcrustesOblique
Probability toolkit: product variance, Weibull and folded-normal laws, evidence, CRPS, maximum entropy, EV simulation, DDM, KINGBvLogisticSimulate Chisq1Cdf CrpsCdf DdmDrift FoldedNormal HarmonicMeanEvidence KingKinship MaxEntropyDiscrete ProductVariance WeibullMoments
Allocate n units to strata in proportion to stratum sizePropalloc
Stack trend, seasonality and holiday columns into one designprophet_design
Forecast at new times, reusing the fitted coefficientsprophet_predict
Share of the total effect that runs through the mediatorPropMd
Proportion mediated and mediated-to-direct ratioPropme
prphet cheatsheetprphet_cheatsheet
prtcl cheatsheetprtcl_cheatsheet
Goodman-Bacon partition of the two-way fixed-effects DiDPrtdid
prxgms cheatsheetprxgms_cheatsheet
Path-specific effect of x on y in a linear SEMPseudo
Pseudo coefficients of determination for a logistic regressionPseudor2
PSIS leave-one-out cross-validationpsis_loo
Particle swarm optimisation on a deterministic low-discrepancy streamPsoop
Parallel tempering (replica exchange) MCMCPtmcmc
Bayes factor for H0: p = p* against a nonparametric alternativePtnulltst
Law of total probabilityPtotal
Studentized range distribution functionPTukey
Prentice-Williams-Peterson conditional gap-time modelPwpgt
Power of the correlation test and Cohen's benchmarksCohenRMagnitude PwrRTest
Symbolic regression with a Pareto front (PySR scheme)PysrRegression
Criterion-function set estimate for moment inequalitiesQcritset
Tabular Q-learning on an explicit finite MDPQlearn
Empirical quantile-mapping bias correction (QUANT)Qmds
Rousseeuw & Croux (1993) Qn robust scaleQnScale
Quantile (pinball) scoring function for point forecastsQrf
qrntcq cheatsheetqrntcq_cheatsheet
Studentized range quantileQTukey
Utility maximisation under constraints and the VCG mechanismQuadraticUtilityConstrained QuadraticUtilityLagrange VcgMechanism
Quantile regression by linear programming and spatial two-stage quantile regressionQuantileRegressionLp SpatialQuantileIv
Quarantine efficacy (eq. 1 of Ashcroft et al. 2021)quarantineefficacy quarantine_efficacy
Pearson r as an effect size with Fisher-z CIr_effect_size
Coefficient of determination R^2r_squared
Convert Pearson r to Cohen's dr_to_d
Convert Pearson r to OR via dr_to_or
Basic reproduction number R0R0
Basic reproduction number - alias of 'R0'R0bayse
F test that all slopes are zero, from R-squaredR2FTest
Radial basis function surfacesRadialBasis RbfGrid RbfInterpolate RbfLoocv RbfMultiscale
Adjusted coefficient of determination for the linear modelRadj
Raking ratio estimation by iterative proportional fittingRaklng
Ramsey RESET test for functional-form misspecificationramsey_reset_test
Random-effects (DerSimonian-Laird) meta-analytic poolingrandom_effects_meta
Random-phase spectral simulation of an isotropic Gaussian random fieldRandomPhaseField
Spatial sampling designs and weightsAdaptiveClusterSample CellDeclusteringWeights HexagonalGridSample MapQualityIndices QuadtreeGrid RandomSpatialSample SpatialThinning VoronoiDeclusteringWeights
Recover a population rate from deliberately noised answersRandres
Random-walk graph kernel between two graphsRandW
Distribution of a simple random walk after a fixed number of stepsRandwk
Rank-biserial correlation for two independent samplesrank_biserial_correlation
Ranked probability scoreRankedProbabilityScore
Wilcoxon rank-sum test, normal approximation with a tie correctionRanksum
Rao-Scott corrections and the Thomas-Rao F testRaoScott
RAS matrix scaling to prescribed marginsRasscale
Raster aggregation, resampling, zonal statistics, masks and distancesCostDistance DistanceTransform RasterAggregate RasterDisaggregate RasterMask RasterResample ZonalStatistics
Incidence rate ratio (IRR)rate_ratio
Ratio estimate of a mean or total, using an auxiliary variableRatioest
Rayleigh distributionRayleighDist
Radial basis (Gaussian) kernelRbfk
Gaussian (radial basis) kernel matrixRbfkern
McCrary's test for a discontinuity in the density at the cutoffRddmanip
Fuzzy regression discontinuity: the Wald ratio at the cutoffRdfzzy
RDKit path-based (subgraph) topological fingerprintRdkfp
Regression kink design: the ratio of slope changes at the thresholdRdkkin
Sharp regression discontinuity by local linear regressionRdksrn
Plug-in MSE-optimal bandwidth for a sharp RD designRdmcbw
Renyi differential privacy of the Gaussian mechanismRdpc
Reassigned spectrogramreassigned_spectrogram
REDCAP regionalizationRedcap
Red edge, reflectance, temperature and albedo conversionsFractionalVegetationCover LandSurfaceTemperature NdviEmissivity RedEdgePosition ShortwaveAlbedo ToaReflectance
Redundancy of a sourceRedund
Effective reproduction number from susceptible depletionReffec
Regime (block-diagonal) weightsRegimeWeights
Register a stat_command in the package-level registryregister_stat_command
Side-by-side regression table for multiple model fitsregression_table
Grid generation and grid-based samplingRegularGrid SpaceTimeSample SystematicSample TransfiniteGrid TriangularGrid
Relative efficiency of m imputationsrelative_efficiency
Utility of one standard quarantine relative to anotherrelative_utility
Rectifier linear unit activation and its gradientReluact
Restricted (residual) maximum likelihood log-likelihood of a mixed modelRemlik
Renyi entropy of order alphaRenent
Repeated K-fold cross-validationrepeated_cv
One-way repeated-measures ANOVArepeated_measures_anova
Report Noisy MaxReportm
Resultant of two polynomialsResaln
Extract residuals from method for 'morie_lm' objectsresiduals.morie_lm
Residuals of a morie mixed modelresiduals.morie_lmm
Resolve a command by canonical name or aliasresolve_stat_command
IQ test-retest worked exampleRetestIQ
Test-retest correlationRetestR
Reverse regression slopeRevSlope
Lower bound on the equicorrelation of exchangeable binary datarhobin
Eigenvalue bounds on the autoregressive parameterRhoBounds
Geodesy and sampling: rhumb lines, ECEF and Helmert datum transformation, spatial CV folds, stratified samples, nested gridsBlockCvFolds EcefToGeodetic GeodeticToEcef HelmertTransform KmeansCvFolds NestedGrid RhumbLine TemporalStratifiedSample
Rice distributionRiceDist
Penalized residual sum of squares of ridge regressionRidgeobj
Closed-form ridge regression estimatorRidgesol
Symbolic calculus: limits, symbolic matrices, first-order ODEs and the rational Risch algorithmMatrixSymbolic OdeSymbolic RischIntegration SymbolicLimit
Risk difference for a 2x2 tablerisk_difference
Risk ratio (relative risk) for a 2x2 tablerisk_ratio
Risk difference between two proportionsRiskdf
Risk ratio between two proportionsRiskrt
Bayesian kernel BLUP: the closed-form conditional mean of the kernel effectsRkhsbayes
Squared RKHS norm of a kernel expansionRkhsnorm
Root mean squared error of a set of predictionsRmsetst
Restricted mean survival timemorie_survival_rmst Rmst
Difference in restricted mean survival time between two groupsmorie_survival_rmst_diff Rmstdiff
Standard errors that survive the wrong variance assumptionRobcov
Further map projections and geodesyGeoidHeight MapUnproject NormalGravity RobinsonProject RotatedGrid RotatedPole WebMercator
Robust linear discriminant analysisRobustLda
Prevalence with a misclassifying testRoganGladen
Roll-call analysis: cohesion and agreement, Snyder-Groseclose party influence, logistic ideal pointsLogitIdealPoints PartyInfluence RollcallCohesion
Rotary position embedding rescaled to reach past the trained lengthRopedy
Rosenbaum sensitivity bounds over a grid of GammaRosenb
Rosenbaum sensitivity analysis for matched-pair designsrosenbaum_bounds
Rotate a DEK: re-encrypt one recordrotate_dek
Rotate the KEK: re-wrap every DEK, no record ciphertext touchedrotate_kek
Cost model: single-key vs envelope rotationrotation_cost
Row-normalised spatial weightsRownorm
Correlation between and within subjects for repeated measurementsrpmcor
The same mechanism, read as a differential-privacy guaranteeRrand
Exact confidence interval and test for the ratio of two Poisson ratesrrexct
RR interval series from R-peak sample indicesrrint
Renewal-equation reproduction number with reporting delayRtrenew
Cori et al. (2013) instantaneous reproduction numberRtSi
Pool multiply imputed estimates by Rubin's rulesrubins_rules
Run a command's REPL handler with positional/keyword argumentsrun_stat_command
Wald-Wolfowitz runs test for randomnessruns_test
Random-walk Laplacian L_rw = I - P, with P the transition matrixRwlap
Soft policy iteration on an explicit finite MDPSacc
SAC (SARAR) model diagnosticsSacboot Sacconv Sacdet Sacimp Sacjac Saclrt Sacres Sacrob Sacvar Sacwald
Salvo model and Colonel Blotto gamesBlottoBestResponse BlottoPayoff SalvoExchange
Sample entropysampen
Sampford's unequal-probability sampling without replacementSampfordDesign
Sample moments, errors and ensemble statisticscentral_moment ensemble_average ensemble_variance esl_total_sum_squares kurtosis_coeff mean_squared_error popvar raw_moment rms_value root_mean_squared_error sample_mean skewness_coeff
Flood, low-flow and flow-duration frequency analysisFloodFrequency FlowDurationCurve LowFlowFrequency SampleLmoments
Sample variogram (gstat variogram conventions)SampleVariogram
Variogram extrasAnisotropicLag SampleVariogramNd VariogramCloudBox VariogramEnvelope VariogramFractal VariogramJackknife WindowedSemivariance ZonalSemivariance
Sample meanSampMean
Sample correlation coefficientSampR
Unbiased sample varianceSampVar
Variance of the sample varianceSampVarVar
Spatial lag (SAR) model diagnosticsSarboot Sardet Sarfilt Sarimp Sarjac Sarlrt Sarr2 Sarres Sarsc Sarsim Sarspil Sarvar Sarwald
Spatial count regressionBymVarianceFraction CountModelIc SarNegbin SarPoisson SarPoissonLmTest SarZinb SarZip
Bayesian spatial autoregressive models by Gibbs samplingSarOrderedProbitGibbs SarProbitGibbs SarTobitGibbs SpatialBayesGibbs
Tabular SARSA on an explicit finite MDPSarsa
Vehicle routing extensions and trip generationSavingsRoutes TripGeneration
Soil hydraulic pedotransfer functions and retention curvesSaxtonRawls VanGenuchten
Rank statistics for simulation-based calibration, and a uniformity testSbcrank
Kulldorff spatial scan statisticScanstat
Spatial cluster detection: circular scan, Besag-Newell, Tango and StoneBesagNewell KulldorffScan ScanZones StoneTest TangoTest
Semiparametric-efficient treatment effect adjusting for baselineScbsft
Spatial count model testsScdisp Scnblrt Scpboot Scpflx
Scheffe interval for a contrastScheffeCI
Schoenfeld residuals and the proportional-hazards testmorie_survival_schoenfeld Schoenfeld
Scored chi-square test of homogeneityschomg
Multi-dimensional data quality scoresscore_data_quality
Score (Lagrange multiplier) testscore_test
Distortion of an inner-product score under TurboQuant_prodScoredist
Score (Rao) test of H0: p = p0 for a binomial proportionScoretest
Impacts, predictions and Wald test of spatial-lag count modelsscnbmf scpmf scpprd scpwld
Standard deviations of a binomial total and its averageSdAvgBin
Standard deviation of a binomial countSdBinom
Geomasking: spatial data distortion for privacy protectionSdcdis
Standard deviation of a fair-coin Heads countSdCoinSum
Spatial Durbin error, general nesting and CAR regression with testsCarML GnsML LogJacobian ResidualMoran SdemML SpatialLrTest SpatialWaldTest
Standard deviation from a varianceSdFromVar
Standard deviation of a sum of n i.i.d. variablesSdIidSum
Spatial Durbin (SDM) model diagnosticsGnsres Sdemres Sdmboot Sdmcf Sdmconv Sdmdet Sdmflt Sdmjac Sdmlrt Sdmolsi Sdmr2 Sdmres Sdmvar Sdmwald Sdmwx
Spatial Durbin ML with spillover indices, and Breusch-Pagan testsBreuschPagan SdmML SpatialBPTest
Standard deviation of a sum of independent variablesSdSum
Standard deviation of the sample meanSdXbar
Seal a record under its DEKseal_record
Segregation evenness: Theil, Atkinson and GiniSegregationEvenness
SEIRA: SEIR with a parallel asymptomatic infectious compartmentSeiarp
SEIR compartmental model with an exposed (latent) classSeirep
Semi-partial (part) correlationsemi_partial_correlation
Object-style wrapper for the semiparametric kernel toolkitSemiparKernels
Spatial error (SEM) model diagnosticsSemboot Semconv Semflt Semjac Semlm Semlrt Semres Semsc Semspec Semvar Semwald
SEM residual covariance matrix and its summary fit indicesSemsro
Sensitivity analysis for causal inference assumptionssensitivity
Rosenbaum bounds sensitivity analysis (data-frame interface)sensitivity_rosenbaum
Generate a comprehensive sensitivity-analysis summarysensitivity_summary
Hellinger-affinity bound from strong delta-separation at stage kSepcons
Simple sequential inhibition processSequentialInhibition
Sequential linear programmingSequentialLinearProgramming
Sequential quadratic programmingSequentialQuadraticProgramming
Linear mixed model with serial correlation and measurement errorLmmSerialCovariance LmmSerialFit LmmSerialLoglik SerialCorrelation
Service coverageServiceCoverage
Serendipity of a recommendation listServR
Back-compatible wrapper over 'setT' (old name)set_transformer
Location set coveringSetCoveringLocation
PMA_k attention pooling from Lee et al. (2019)setT
Balke-Pearl sharp bounds on the average causal effect under an instrumentSfbnds
Eigenvector and Getis spatial filtering utilitiessfgetis sfloc sfmemb sfmi sforth sfredu spatial_filter
Conditional autoregressive (CAR) model, fitted by maximum likelihoodsgcar
Spatial GLM, robust semivariogram, loss and weight normalisationSgcrh Sglm Sglss Sgrwn
Exact sign test of H0: median = mdSgntest
Savitzky-Golay smoothing (direct alias)sgolay
Geostatistical simulation: SGS with block data, ensembles, p-field, LMC and collocated co-simulation, SIS, SNESIM, annealingCollocatedCosimulate ConditionalEnsemble LmcConditionalSimulate PfieldSimulate SgsBlockSimulate SisMarkovBayes SnesimSimulate
Adjacency and non-backtracking matrices of a graphSgtadj Sgtnbe
Exact Sgtcheegerbound constant, with the eigenvalue bounds it satisfiesSgtcheegerbound
Sgtcheegerconstant constant by a sweep over the Fiedler vectorSgtcheegerconstant
Eigenvector centrality from the leading eigenvector (re-export)Sgteigcent
One symmetric-normalised graph convolutionSgtgrn
Laplacian eigenmaps: embed a graph in k dimensionsSgtlap2
One Leiden refinement pass over an existing partitionSgtleid
Mixing time of a random walk from the absolute spectral gapSgtmix
Newman-Girvan modularity Q of a labelled partitionSgtmodq
PageRank by power iteration - alias of 'Pgrank'Sgtpgr
Random-walk kernel of a graph as a resolventSgtrwk
Kesten-Stigum detectability threshold for the symmetric SBMSgtsbnd
Ng-Jordan-Weiss k-way spectral clusteringSgtsck
Refine node colours until neighbourhoods stop distinguishing themSgtwlk
Shannon entropy of a discrete distributionShanent
Shapiro-Wilk test for normalityshapiro_wilk
Shapley-Owen valueShapleyOwen
Shewhart control chart: the three-sigma decision, and what it costsShewh
Privacy amplification by shuffling: local DP to central DPShfflm
Shared gamma frailty model with marginal (population-averaged) outputShfrm
Shift scheduling, relief factors and workload staffingReliefFactor ShiftSchedule WorkloadStaffing
Shortest paths, k-shortest paths and travelling salesman toursKShortestPaths ShortestPath TspTour
Network measures (igraph conventions)Centralities ModularityScore NetworkConnectivity NetworkSummary NodeVulnerability ShortestPathLengths
Network SIR epidemic, individual-based mean fieldSiaepi
Sidak FWER correctionsidak
Siegel repeated-median line: the 50 percent breakdown robust regressionSieg
Network SI epidemic, individual-based mean fieldSiepid
Network SIS epidemic, individual-based mean fieldSietrt
Sigmoid basis transformation of a design matrix (ESL eq. 2.31)Sigbasis
Contrastive loss that scores each pair on its ownSiglip
Silhouette widths and Dunn indexDunnIndex SilhouetteWidths
Silverman rule-of-thumb bandwidthsilverman_bandwidth
Simes test for the global nullsimes_combined
Sine cosine algorithmSineCosineAlgorithm
Single-step relationship matrix H (ssGBLUP)Singgw
Singular spectrum analysis of a univariate seriesSingsd
SVD cap on the prewhitening matrixsingular_value_adjust
Sinh-arcsinh distributionSinhArcsinh
Dual-Sinkhorn divergence between two discrete measuresSinkdist
Doubly-stochastic (Sinkhorn) scaling of spatial weightsSinkhornWeights
SIR compartmental model by fourth-order Runge-KuttaSirepi
Stochastic SIR by Gillespie's direct methodSirstn
Age-structured SIR driven by a social contact matrixSirtdy
SKATER regionalizationSkater
Slope One and Weighted Slope One collaborative-filtering predictorsSlope1
Product of the forward and reverse regression slopesSlopeProd
SLX regression with impacts and a Wald testSLXRegression
Spatial lag of X (SLX) model diagnosticsSlxboot Slxflt Slxres Slxwx
Three-way SMACOF (INDSCAL, IDIOSCAL, replicated MDS)SmacofIndDiff
Symmetric SMACOF multidimensional scalingSmacofMds
SMARTS search, Crippen logP and PAINS alertsClogpEstimate PainsFilter SmartsMatch
Molecular descriptors from SMILESLipinskiDescriptors SmilesHba SmilesHbd SmilesMolecularWeight SmilesRotatableBonds SmilesTpsa
Per-sample genotype quality controlSmplqc
Standardised mortality ratio, indirect standardisationSmrind
Decision and factoring algorithmsShorFactoring SmtSolver
Seasonal naive forecastSnaivefc
G-estimation of a linear structural nested mean modelSnmlin
SNP-BLUP additive genomic predictionSnpblr
SNP-BLUP (ridge regression BLUP) marker effects and breeding valuesSnpblup
Snijders-Bosker level-1 explained varianceSnr2
Snijders-Bosker level-2 explained varianceSnr2u
Rousseeuw & Croux (1993) Sn robust scaleSnScale
Mandatory minimum sentence analysisSntmn
Sobol low-discrepancy sequence in [0, 1)^dimsobol_sequence
Second-order cone programming by the barrier methodSocpts
Soft-thresholdingsoft_threshold
Soft value iteration on a deterministic tabular MDPsoft_value_iteration
Soil chemistry, carbon, texture and Sobel filteringSobelFilter SoilCarbon SoilChemistry UsdaTexture
Monte Carlo test of space-time interactionSpaceTimeInteractionTest
Space-time K function of Diggle, Chetwynd, Haggkvist and Morris (1995)SpaceTimeK
Geometric anisotropy: correcting direction dependence by a linear mapspanis
Sparse (masked) scaled dot-product attentionSparseattn
Spatial epidemic and cluster modelsspatial_cure_rate spatial_frailty spatial_sir
Spatial accessibilitySpatialAccessibility
Spatial bargainingSpatialBargaining
Spatial concentration indicesSpatialConcentration
Spatial correlogram over neighbour-graph lag ordersSpatialCorrelogram
Spatial GLMM fitting, prediction, residuals and scoringCrpsGaussian CrpsPoisson CrpsSample GlmmResiduals SpatialGlmmFit SpatialGlmmPredict
Direct, indirect and total impacts of a spatial lag or Durbin modelSpatialImpacts
Bivariate Gaussian kernel density of a point patternSpatialKde
Spatial panel data modelsInformationCriteria SpatialPanelMl SpatialPanelReLag
Spatial probit, logit, Poisson, ZIP and panel models (entry points)SpatialLogit SpatialPanelFe SpatialPanelRe SpatialPoisson SpatialProbit SpatialZip
Spatial lag, spatial error and SAC models by maximum likelihoodSpatialRegressionML
Spatial two-stage least squares for the spatial lag modelSpatialTwoStageLS
Spatial weight matrix from point coordinatesSpatialWeights
Spatial trend surface: linear mean plus correlated errorSpatrend
Bayesian hierarchical spatial models for disease mappingspbayr
Modified Bessel function of the second kind, K_nuspbesf
Binomial point process: a FIXED number of independent uniform pointsspbino
Best linear unbiased predictor: ordinary krigingspblup
Besag-York-Mollie convolution model for disease mappingspbym
Conditional autoregressive model: the conditional specificationspcar
Circular semivariogram modelspcirc
Likelihood-ratio tests and AIC for nested spatial covariance modelsspcmp
Mean-square continuity, decided by the covariance at the originspcont
Convolution representation of a stationary random fieldspconv
Empirical covariance function of a second-order stationary fieldspcovf
Complete spatial randomness, and a quadrat check of itspcsr
Spearman rank correlationspearman_correlation
Spectral clustering: embed by the bottom eigenvectors, then k-meansSpecclus
Specification curve analysisspecification_curve
Gaussian random field simulation by circulant embeddingSpectralGRF
Spectral indices of reflectance bandsSpectralIndex
Exponential semivariogram modelspexp
F-function: the empty space (point-to-nearest-event) distributionspffun
Gaussian semivariogram modelspgaus
G-function: the nearest-neighbour distance distributionspgfun
Spatial prediction in a generalized linear modelspglmk
Conditional specification of a spatial GLMMspglmm
Generalised least squares with a known covariance matrixspgls
Semivariogram fit by generalized least squares (Cressie 1985)spglsv
Geographically weighted regression: locally varying coefficientsspgwr
GWR bandwidth selection by cross-validation or corrected AICspgwrb
GWR kernel weight functionsspgwrk
Intrinsic CAR (ICAR) prior: precision structure, not a fitspicar
Isotropy check by comparing directional semivariogramsspiso
Cross K-function for bivariate point patternsspkcrs
Leave-one-out cross-validation of a kriging modelspkfnn
Ripley's K-functionspkfun
Parametric kernel semivariogramspkrnv
Solve the kriging system for the weightsspkwt
L-function, the variance-stabilised K-functionsplfun
Lognormal krigingsplgk
Matern covariance function classspmatr
Moments of Moran's I under Gaussianity and under randomizationspmenv
Simultaneous pairwise marginal independence (SPMI)Spmi
Inverse distance weighted interpolationspmidw
Covariance parameters by maximum or restricted maximum likelihoodspml
Mean-square differentiability, from the even derivatives of C at 0spmsd
Multiscale GWR: one bandwidth per covariatespmsim
Moving-window kriging with locally re-estimated semivariogramsspmwst
Nested semivariogram: the linear model of regionalizationspnest
Nonparametric (Shapiro-Botha) semivariogramspnpsv
Neyman-Scott cluster process: second-order behaviourspnscl
Effects of nugget, sill and range on a kriging predictionspnsr
Parametric non-stationary correlation: the point-source modelspnst
Nugget effect in the semivariogram: discontinuity at the originspnug
Ordinary least squares fitting of a semivariogram modelspols
Dynamic spatial panel (spatial ARX) on the fixed-effects spatial lag modelSpPanelDynamic
Periodogram of a process observed on a rectangular latticespperiod
Spatial panel models, tests and resamplingsppbe sppboot sppcov sppdiag sppdyn sppfe sppgmm spphaus sppiv spplm sppre sppres sppsac sppsar sppsdm sppsem
Homogeneous Poisson process (HPP), the CSR reference modelsppois
Power semivariogram model (unbounded)sppow
Fit a spatial GLMM by pseudo-likelihoodsppql
Spatial probit and logit: impacts, probabilities, simulated ML and panelssplgtmf splgtml spprmf spprml spprprd sprmfdi sptfx sptrx
Sprawl entropySprawlEntropy
Restricted maximum likelihood (REML) for semivariogram parametersspreml
Which stationarity assumption the data can supportsprfss
Spatial autoregressive (lag) modelspsar
Empirical semivariogram: half the mean squared differencespsemv
Simple kriging: the mean is knownspskrg
Sum-of-sinusoids (spectral) representation, eqs (2.26)-(2.27)spspec
Spherical semivariogram modelspsph
Covariance and semivariogram under second-order stationarityspssoc
Non-separable spatio-temporal covariance functionsspstcn
Separable spatio-temporal covariance functionsspstcv
Spatio-temporal point process intensityspstp
Empirical spatio-temporal semivariogramspstvg
Tent semivariogram modelsptent
Trans-Gaussian krigingsptgk
Thomas process: the Neyman-Scott process with Gaussian offspringspthom
Spectral density of a stationary field from its covariance functionspwkth
Weighted least squares fitting of a semivariogram modelspwls
Interpolate a scattered surface onto a grid by GP regressionSrfintp
Estimate a population total from a simple random sampleSrstotal
Wolbers concordance for competing-risks predictionsSscompv
Sum-of-squared-error loss for continuous outcomesSsello
Nonparametric survival when each event time is only bracketedSsintc
Left-truncated survival adjustmentSstrlf
Standardised regression coefficients (beta weights)standardized_coefficients
Stars and barsStarBars
Stars-and-bars recursionStarBRec
Execute a single command and return the resulting textstat_bridge_exec
Inspect a single command by namestat_bridge_fn_info
Search the registry for matching commandsstat_bridge_fn_search
Formatted text dump of the command registrystat_bridge_help
Command-line dispatcherstat_bridge_main
JSON enumeration of all registered commandsstat_bridge_registry_json
Self-test enumeration helperstat_bridge_verify
Construct a stat_command entrystat_command
Comprehensive hypothesis testing suite for epidemiological researchstatistics
Stabilized inverse-probability-of-censoring weightsStbciw
Space-time cokriging and the diffusion covarianceDiffusionStCovariance StCokriging
Space-time covariance models (gstat vgmST conventions)STCovariance
Fit a space-time variogram model and space-time kriging variantsStBlockKriging StFit StKrigingDiagnostics StLeaveHOut StLocalKriging StPredictGrid StSimulate StSmoothness StUniversalKriging
Space-time Gi*, bivariate Moran and space-time trend surfacesBivariateMoran StGetisOrd StTrendSurface
Space-time kriging prediction and varianceSTKriging
Leave-one-out cross-validation of space-time krigingSTKrigingCV
Space-time ARMA models: STACF, STPACF, STAR and STARMA fits, forecasts, portmanteau testStAcf StarFit StarmaFit StarmaForecast StLag StPacf StPortmanteau
Space-time variograms and covariance familiesStCovarianceFamily StLinearCombination StModelVariogram
Storey q-value procedure (adaptive FDR)storey_q
Stouffer's z-score methodstouffer_combined
Allocate a stratified sample and report the variance it achievesStratdes
Stratified estimate of the population mean, with its varianceStratmean
DeltaCon structural distance between two graphsStrdis structural_distance
Stream order and topographic indicesStreamOrder StreamPowerIndex TopographicWetnessIndex
Stream networks, channel form, groundwater flow and depression breachingBreachDepressions ChannelSlope DarcyFlow HeightAboveDrainage MeanderMetrics StreamSegments
Strip mean from the reverse regression lineStripMean
Stabilized inverse-probability-of-treatment weights within strataStrtwt
Linear Gaussian state-space model: Kalman filter and smootherStsmod
Residuals rescaled by a variance the point itself did not inflateStudrs
Empirical space-time variogram on a full space-time gridSTVariogram
Form the subcomposition on a selected subset of partsSubcomp
Subsampling inference (Politis, Romano & Wolf)subsampling
Subscale average variance extracted and composite reliabilitysubscale_ea_ave subscale_ea_composite_rel subscale_ee_ave subscale_ee_composite_rel subscale_er_ave subscale_er_composite_rel subscale_ua_ave subscale_ua_composite_rel
Substance Categoriessubstance_categories
Sufficient statistics for the Bernoulli and Normal modelsSuffstat
Convolution density of a sumSumDens
Strip probability for a sum densitySumDensP
Sum of the first N integersSumInts
Descriptive statistics for a set of variablessummary_statistics_table
Summarise method for 'morie_cluster' objectssummary.morie_cluster
Summary of a native generalized additive modelsummary.morie_gam
Summarise method for 'morie_lm' objectssummary.morie_lm
Summarise a morie mixed modelsummary.morie_lmm
Summarise method for 'morie_ml_fit' objectssummary.morie_ml_fit
Weight candidate predictions by cross-validated risk, on the simplexSuperlrn
Surprisal (self-information) of one or more outcomesSurpris
Brier score for survival predictionSurvbri
Uno C-index for censored dataSurvci2
Design-corrected p-value for a naively computed chi-square statisticSurvip
Index of prediction accuracy (scaled Brier score)Survipa
Discrete-time survival regression with a chosen hazard linkSurvlnk
Restricted mean survival time over a fixed horizonSurvrls
Truncated time-dependent concordance indexSurvtdc
Sample (empirical) semivariogramSvariog
Epsilon-insensitive support vector regressionSvmep
Maximum margin (hard margin) hyperplaneSvmhp
Support vector classifier with slack variables (soft margin)Svmsl
Wolfe dual objective of the support vector machineSvmwolfe
Survey medianSvymed
Survey quantile by inversion of the weighted CDFSvyqtl
Weighted two-way table with a design-corrected test of independenceSvytbl
Spatial weights: builders, lags and graph operationsswadapt swblk swdist swgab swinv swkern swknn swlag swlag2 swlagf swpath swpower swspars swsph swtri
SwiGLU feed-forward blockswiglu
Swin window multi-head self-attention with relative position biasSwinmw
Symbolic integration and differentiationSymbolicDiff SymbolicIntegrate
Synthetic-likelihood ABC, Meeds & Welling Algorithm 1synthetic_abc
Synthetic log-likelihoodsynthetic_log_likelihood
Every k-th unit: all k systematic samples and the exact varianceSysamp
Draw one systematic sample with a random start, and estimate from itSysrs
Systematic resamplingsystematic_resample
Table 1 (baseline characteristics) stratified by grouptable1
Publication-ready table generationtables_pub
tagRC_adapted_pageranktagRC_adapted_pagerank
tagRC_cheatsheettagRC_cheatsheet
tagRC_preference_vectortagRC_preference_vector
tagRC_tripartite_graphtagRC_tripartite_graph
Taphonomic preservation as a causal-inference problemtaphonomy
Multispectral image processing (RStoolbox conventions)AtgpEndmembers BandPca CloudMask CloudShadowMask EstimateHaze FparFromNdvi GaussianMlClassify KmeansClassify MnfTransform PanSharpen RadiometricCorrection SpectralAngleClassify TasseledCap TopographicCorrection Tvdi
Kraken-style taxonomic classification by RTL path scoringTaxass
Teaching-learning-based optimizationTeachingLearningOptimizer
Train on earlier data, test on later datatemporal_validate
Terrain derivatives of a DEM (terra terrain conventions)TerrainIndices
Check the three conditions that deliver a posterior contraction rateTestcond
Cell counts N_epsilon for a tail-free or Polya-tree partitionTfcells
Thin-plate spline interpolation and smoothing in two dimensionsThinPlateSpline
Beta-Bernoulli Thompson samplingThomp
Tippett's minimum-p methodtippett_combined
Tipping-point analysis for missing-data sensitivitytipping_point_analysis
Lower tail dependence coefficientTldepl
Upper tail dependence coefficientTldepu
TMLE whose initial outcome model uses baseline covariates onlyTmlbas
How much of a group gap survives equalising the covariatesTmldis
Nonparametric bootstrap interval for the targeted risk differenceTmleboot
Target E[Y_a] at every level of a categorical treatmentTmlecat
Controlled direct effect: the treatment effect with the mediator fixedTmlecde
Standard error, interval and score check from an influence curveTmleinf
Targeted marginal odds ratio, with inference on the log scaleTmleor
How far the initial fit was from solving the efficient score equationTmleqs
Targeted estimate of the marginal risk difference E[Y_1] - E[Y_0]Tmlerd
Stabilize a targeted estimate by truncating the propensity scoreTmlestab
Target the variance parameter sigma^2 = E[D*^2] and bound itTmlevar
Pool site-level TMLEs without moving any row between sitesTmlfed
TMLE for the marginal hazard ratio when proportional hazards failsTmlhrz
TMLE for the value of the estimated optimal individualized ruleTmlitr
TMLE for a vector-valued (multivariate) binary treatmentTmlmct
Natural direct and indirect effects, both targetedTmlMd
TMLE for the ATE with a missing-at-random outcomeTmlmda
TMLE for a multi-arm treatment: arm means and pairwise contrastsTmlmlt
Cross-fitted TMLE with pluggable machine learners for Q and gTmlmnl
TMLE for a multi-state cause-specific cumulative hazard contrastTmlmpc
TMLE for the marginal probabilistic indexTmlmpi
TMLE for the long-run value of a policy in a finite Markov decision processTmlmrk
Direct effect with the mediator drawn from a fixed reference armTmlnde2
TMLE for a non-smooth functional: the counterfactual median differenceTmlnsm
Total effect by TMLE, with the mediator held out of the modelTmlnte
Point-treatment TMLE with seasonality in both nuisance modelsTmlper
High-dimensional TMLE with L1-penalised nuisance modelsTmlphd
TMLE for a path-specific effect through a chosen subset of mediatorsTmlpse
Backward-targeted Q-learning for a multi-stage treatment regimeTmlqlc
RCT-assisted TMLE for the trial-population ATETmlrct
TMLE for the marginal recurrent-event rate ratioTmlrec
TMLE with an estimated second-order remainderTmlres
Targeted maximum likelihood for a rare binary outcomeTmlric
TMLE for the average treatment effect inside a named subgroupTmlsbg
Sample-split TMLE on a data-adaptively selected covariate subsetTmlsbs
TMLE for a direct effect under interference, at a fixed network exposureTmlspl
TMLE transporting a treatment effect to a target populationTmltrn
Structure similarity whose scale does not drift with chain lengthTmscore
Top-down disaggregation of a hierarchical forecastTopdown
Forensic toxicology: matrix-aware quantitation and antemortem inferencetox
Cross-category crime analyses for Toronto Police Service (TPS) datasetstps_crime
Statistics Canada Crime Severity Index (CSI) weights for TPS datatps_csi
Spatial analyses for TPS crime datatps_spatial
Heavyweight spatial statistics for TPS datatps_spatial_advanced
Smallest sketch size meeting an inner-product distortion targetTqdist
Quantize a key embedding to one bit per sketch rowTqhs
The l-th absolute moment of a zero-mean normalTqmom
Replace a Gaussian sketch by one with orthonormal rowsTqorth
Draw a rotation that spreads outlier energy over all coordinatesTqrot
Animal movement and spatial networksCorePeriphery CrwKalman MovementHmm MovementNetwork NetworkRobustness TrackSteps
Train a BPE model: merge the most frequent adjacent pair greedilytrain_bpe
Movement trajectory analysisFirstPassageTime MeanSquaredDisplacement OdMatrix SimulateWalk TrajectoryMetrics
Non-Gaussian random fieldsAnisotropicCoords MaxStableField TransformedField
Transportation problemTransportationProblem
Travelling salesman tourTravellingSalesman
Truncated product of treatment and censoring weightsTrcwgt
Summary table of causal effect estimates from multiple estimatorstreatment_effect_table
How often the NUTS trajectory hit the tree-depth capTreedepth
Design columns for k, m and each delta_jtrend_matrix
Tukey-McLaughlin inference for a trimmed meanTrimCI
Weight trimming with the excess redistributedTrimit
Standard error of the trimmed meanTrimSE
Ordered triples without repetitionTripNoRep
Weight truncation at a percentile of the weight distributionTrmwgt
Effect modification in matched observational studiesSubmaxComparisons SubmaxTest TruncatedProductPvalue WilcoxonSensitivityMoments
Tsallis entropy of the empirical distribution of a sampleTsallen
Tsallis entropy of a probability vector that is already knownTsalls
Tukey-Kramer intervals for all pairwise differencesTukeyKramer
Tukey lambda distributionTukeyLambda
Biweight M-estimate of location, with redescending weightsTukeyw
The biweight loss and its derivative, evaluated pointwiseTukrho
Robust regression by iteratively reweighted least squaresTukrr
Turnbull estimator for interval-censored datamorie_survival_turnbull Turnbull
Turning bands simulation of a Gaussian random fieldTurningBands
Spatial simulation and interpolationAnnealingSimulation DeformationFieldSimulate DlaAggregate MovingLeastSquares TurningBandsSpherical
Asymmetric set similarity with separate penalties per sideTvsbn
Two-sample z-test for the difference in proportionstwo_proportion_ztest
Independent two-sample t-test (equal or unequal variance)two_sample_ttest
Two-way factorial ANOVA (Type-II SS)two_way_anova
Variance of the sum of two fair coin flipsTwoCoinVar
Two-stage sample: PSUs drawn, then elements within each PSUTwostage
Cheng-Wei-Ying two-stage transformation-model estimatorTwostg
UCB1 index policy on a fixed reward tableUcbb
Surface urban heat island intensityUhiIntensity
Invert the whitespace escapeunescape_whitespace
Unit-length (L2) normalizationUnitl
Unobserved components (basic structural) model by the Kalman filterUnobts
Unwrap a DEK, optionally logging the callunwrap_dek
Utility = efficacy per person-day in quarantine (eq. 4)utility
Critical vaccination threshold for herd immunityVaccthresh
Anomaly detection by VAE reconstruction probabilityVaean
Variational autoencoder evidence lower bound (SGVB estimator)Vaeber
Multinomial variational autoencoder for collaborative filteringVaecf
Validate a data frame against a list of column rulesvalidate_schema
Data and model validation frameworkvalidation
Included Vancouver Open Data crime-adjacent civic datasetsmorie_datasets_vancouver_community_centres morie_datasets_vancouver_community_food_markets morie_datasets_vancouver_disability_parking morie_datasets_vancouver_fire_halls morie_datasets_vancouver_graffiti morie_datasets_vancouver_homeless_shelters morie_datasets_vancouver_noise_control_areas morie_datasets_vancouver_property_use_inspection_districts morie_datasets_vancouver_public_art vancouver_crime_adjacent
The four-way decomposition expressed as shares of the totalVandIE
VanRaden method 1 genomic relationship matrixVanr1
VanRaden method 2 genomic relationship matrix (marker weighted)Vanr2
Value at Risk and expected shortfall from a GARCH(1,1) volatilityVaratr
VAR forecast error variance decomposition - alias of 'Fevdc'Vardec
VAR(p) vector autoregression by multivariate least squaresVarest
VAR(p) multivariate autoregression - alias of 'Varest'VarF
Vargha-Delaney A statisticvargha_delaney_a
Scalable variational Gaussian process classification (SVGP)Vargpc
Per-variable taxonomy + dispatcher (R mirror of morie.variable_taxonomy)variable_taxonomy
Run a suite of homogeneity-of-variance testsvariance_equality_suite
Variance ratio (F-test for equality of variances)variance_ratio
Association measures and affine momentsAffineMoments TostCorrelation VariationRatio YuleAssociation
VAR impulse response function - alias of 'Irfun'Varimp
Gaussian log-likelihood and ML/REML fitting of a covariance model (geoR likfit)Likfit SelectVariogramModel VariogramLoglik
Variogram mapVariogramMap
Variance reduction criterion for regression tree splittingVarrd
Variance of a sum of independent variablesVarSum
Variance of the sample meanVarXbar
Barber-Agakov variational lower bound on mutual informationVbinfp
Variational inference by ELBO maximisation - alias of 'Vinfer'Vbnopt
Variational Bayes for a Dirichlet process mixture (truncated stick-breaking)Vbnpc
Extract the covariance matrix of method for 'morie_lm' objectsvcov.morie_lm
Covariance of the fixed-effect estimatesvcov.morie_lmm
Quantize a value cache with the inner-product variant of TurboQuantVcquant
Scalable approximations to krigingFixedRankKriging NngpPredict SparseGpKrige TaperedKriging VecchiaLoglik
Vehicle routing by Clarke-Wright savingsVehicleRoutingSavings
Verify a chain, returning the FIRST bad index (not just a boolean)verify_chain
Recompute the root from a leaf and an audit pathverify_inclusion
Expected Matheron semivariogram under a linear driftvgdrift
Variogram models (gstat vgm shapes and more)VgmCorrelogram VgmCovariance VgmSemivariance
Spectral density of Matern, exponential and Gaussian covariancesVgmSpectralDensity
Empirical (Matheron) variogramvariogram Vgrm
ViLBERT two-stream co-attentionVilbrt
Score a docked pose with the Vina free-energy functionVinasc
Mean-field variational inference by coordinate ascent on the ELBOVinfer
Virtual loss for parallel Monte-Carlo tree searchVirtloss
Most likely hidden state sequence, in one forward passViterb
Unigram LM segmentation by Viterbi over the split latticeviterbi_segment
Layer normalisationVitlnorm
Scaled cosine attention (Swin Transformer V2)Vitscn
Show how the classical two-way split sits inside the four-way oneVivkt
Von Mises-Fisher densityVmfDens
Volatility diagnostics: ARCH-LM and multi-horizon distributional accuracyvol_corradi_swan_persistence vol_engle_lagrange
Quasi-likelihood SV(1) via the Kalman filterVolsv
Voronoi cells of a point pattern inside a convex windowVoronoiCells
Spatial vote probabilitiesVoteProbability
Spatial voting utilitiesVoterUtility
Party competition: vote shares, Hotelling-Downs equilibria, strategic voting, entry, bargaining, committeesBestResponseEquilibrium CommitteeOutcome EffectiveNumberParties EntryGame LaverDynamics MedianParty MergeSplitParties RubinsteinBargaining SetterOutcome StrategicVoteShares VoteShares
Fraction of explained variance attributable to the mediatorVrmed
Vertex strengths of a weighted graphVstrength
Predictive criterion computed from the posterior, pointwiseWaicd
Wald test for linear restrictions on parameterswald_test
Wald test of H0: theta = theta0 against a two-sided alternativeWaldstat
1-Wasserstein distance on the lineWassdt
Rewire a ring lattice and watch the diameter collapseWatstro
Daubechies orthonormal wavelet basis for a periodic signalWave
Three-parameter Weibull distributionWeibull3
Spatial survival and SPDE fields: Weibull gamma-frailty model and SPDE (Matern) GMRF precisionSpdePrecisionGrid WeibullFrailtyFit
Neural network weight initialisation (Philox)WeightInit Xavir Xvrig
Spatial weights coding schemes (spdep nb2listw styles)WeightsStyle
Summary of a spatial weights matrixWeightsSummary
Iteratively reweighted mean converging on the geometric medianWeisz
Welch power spectral densitywelch
Welch's t-test (convenience wrapper)welch_ttest
Gaussian-shaped weight that decays smoothly and never reaches zeroWelshw
Weighted frequency distributionWfrep
Assemble the weighted Laplacian from an edge listWgtlap
Whale optimization algorithmWhaleOptimization
Wide & Deep jointly trained classifierWideD
Wilcoxon signed-rank test (one-sample or paired)wilcoxon_signed_rank
Wild bootstrap for linear regression with heteroskedasticitywild_bootstrap
Mean after pulling the tails in to the quantilesWinz
Wishart and inverse Wishart densitiesWishartDens
Spatio-temporal model building blocksArmaAcf CarrollStCorrelation HarmonicOzoneDlm NormalGammaDlm PartitionedCovariance ProcessConvolutionCovariance SeparablePrewhiten WishartMoments
Wei-Lin-Weissfeld marginal model for multivariate failure timesWlwmm
Horvitz-Thompson weighted (Hajek) survey meanWmeansr
Spatial weights matrix from point coordinatesWmtwgt
WordscoresWordscores
WordPiece subword tokenizerWpiece
Wrap to [-pi, pi)wrap_angle
Wrap a DEK under a KEKwrap_dek
Wrapped Cauchy distributionWrapCauchy
Wrapped normal distributionWrapNorm
Transport distance between equal-size clouds by optimal assignmentWsdt2d
Weighted variance and weighted meanWvar
Multi-level Daubechies wavelet decomposition of a periodic signalWvltdb
Cross-population extended haplotype homozygosity (XP-EHH)Xpehh1
Yang et al. realized genomic relationship matrixYangr
YaRN context-window scaling: NTK-by-parts + ramp + temperatureYarn
Yolk of a spatial majority gameYolk
Yuen's test for two trimmed meansYuen
Zivot-Andrews unit root test with an endogenous breakZaurts
Zero-concentrated differential privacy (zCDP) accountingZcdp
Marginal moments of Zeger's parameter-driven count modelzegcnt
Z-transform of a discrete-time sequenceZfm
Spatial epidemiology: ZIP Gibbs, kernel relative risk, Oden Ipop, prospective scan, ecological regression, womblingArealWombling BufferRateRatio FunnelControlLimits GhoseDrugFilter KernelRelativeRisk NeedBasedAllocation OdenIpop PoissonEcological ProspectiveScan ZipGibbs
Z-score (standardization) normalizationZscnm
Z-score anomaly flaggingZscoreA
Spatial machine learning with coordinate featuresZsglm Zxsbg Zxsbu Zxsbv Zxscv Zxsen Zxsgb Zxsle Zxsls Zxsqr Zxsrf Zxsvm