r4lineups: Statistical Inference on Lineup Fairness

Computes statistical measures for laboratory and police lineups in forensic psychology, including lineup bias, functional and effective size, diagnosticity, confidence-accuracy curves, signal detection models, and simulation tools. Optional face-similarity functions use numeric face representations computed by Python's 'deepface' library; optional lineup-memory model fitting uses a separately installed, pinned 'pyWitness' engine.

Version:	2.3.0
Depends:	R (≥ 4.1.0)
Imports:	boot, dplyr, ggplot2, ggrepel, gridExtra, magick, magrittr, purrr, reticulate (≥ 1.26), stats, tibble, utils
Suggests:	bslib, chromote, here, knitr, lme4, pander, patchwork, DT, rmarkdown, Rtsne, shiny, shinytest2, splines, testthat (≥ 3.0.0), umap
Published:	2026-11-02
DOI:	10.32614/CRAN.package.r4lineups
Author:	Colin Tredoux [aut, cre] (Co-author of the original package), Tamsyn Naylor [aut] (Co-author of the original package)
Maintainer:	Colin Tredoux <colin.tredoux at uct.ac.za>
BugReports:	https://github.com/CGTZA2/r4lineups/issues
License:	MIT + file LICENSE
URL:	https://github.com/CGTZA2/r4lineups, https://cgtza2.github.io/r4lineups/
NeedsCompilation:	no
Language:	en-US
Citation:	r4lineups citation info
Materials:	README, NEWS
CRAN checks:	r4lineups results

Documentation:

Reference manual:

r4lineups.html , r4lineups.pdf

Vignettes:

r4lineups MAIN vignette: Statistical Inference on Lineup Fairness (source, R code) Bayesian Inference for Lineup Measures (source, R code) Calibration and Decision Analysis (source, R code) Face Similarity Analysis (source) Full ROC Analysis for Eyewitness Lineups (source, R code) Information and Error-Rate Metrics (source, R code) Fitting Wixted Lineup-Memory Models (source, R code) Comparing Models for Eyewitness Identification Data (source, R code) mSDT: Multi-Item Signal Detection Theory (source, R code) Multi-d': Lee and Penrod's Signal Detection Framework for Lineups (source, R code) Statistical Comparison of ROC Curves (pAUC Analysis) (source, R code) RAC Analysis: Response Time-Accuracy Characteristics (source, R code) SDT via GLM/GLMM (source, R code) SDT Summary-Level Comparisons (source, R code) Data Simulation and Power Analysis for Lineup Studies (source, R code) Winter 2-HT Model (source, R code)

Downloads:

Package source:	r4lineups_2.3.0.tar.gz
Windows binaries:	r-devel: r4lineups_0.1.1.zip, r-release: r4lineups_0.1.1.zip, r-oldrel: r4lineups_0.1.1.zip
macOS binaries:	r-release (arm64): r4lineups_0.1.1.tgz, r-oldrel (arm64): r4lineups_0.1.1.tgz, r-release (x86_64): r4lineups_0.1.1.tgz, r-oldrel (x86_64): r4lineups_0.1.1.tgz
Old sources:	r4lineups archive

Linking:

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