<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>cgtza2.r-universe.dev</title><link>https://cgtza2.r-universe.dev</link><description>Recent package updates in cgtza2</description><generator>R-universe</generator><image><url>https://github.com/cgtza2.png</url><title>R packages by cgtza2</title><link>https://cgtza2.r-universe.dev</link></image><lastBuildDate>Mon, 02 Nov 2026 11:22:56 GMT</lastBuildDate><item><title>[cgtza2] r4lineups 2.3.0</title><author>colin.tredoux@uct.ac.za (Colin Tredoux)</author><description>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.</description><link>https://github.com/r-universe/cgtza2/actions/runs/41501904763</link><pubDate>Mon, 02 Nov 2026 11:22:56 GMT</pubDate><r:package>r4lineups</r:package><r:version>2.3.0</r:version><r:status>success</r:status><r:repository>https://cgtza2.r-universe.dev</r:repository><r:upstream>https://github.com/CGTZA2/r4lineups</r:upstream><r:article><r:source>bayesian_inference.Rmd</r:source><r:filename>bayesian_inference.html</r:filename><r:title>Bayesian Inference for Lineup Measures</r:title><r:created>2026-06-21 20:53:56</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>calibration_decision_analysis.Rmd</r:source><r:filename>calibration_decision_analysis.html</r:filename><r:title>Calibration and Decision Analysis</r:title><r:created>2026-01-30 14:56:23</r:created><r:modified>2026-11-02 09:23:41</r:modified></r:article><r:article><r:source>model_comparison.Rmd</r:source><r:filename>model_comparison.html</r:filename><r:title>Comparing Models for Eyewitness Identification Data</r:title><r:created>2026-01-30 19:01:47</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>simulation_power_analysis.Rmd</r:source><r:filename>simulation_power_analysis.html</r:filename><r:title>Data Simulation and Power Analysis for Lineup Studies</r:title><r:created>2026-01-30 19:01:47</r:created><r:modified>2026-11-02 09:23:41</r:modified></r:article><r:article><r:source>face_similarity.Rmd</r:source><r:filename>face_similarity.html</r:filename><r:title>Face Similarity Analysis</r:title><r:created>2026-06-21 20:53:56</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>lineup_memory_models.Rmd</r:source><r:filename>lineup_memory_models.html</r:filename><r:title>Fitting Wixted Lineup-Memory Models</r:title><r:created>2026-08-10 15:22:38</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>fullroc_analysis.Rmd</r:source><r:filename>fullroc_analysis.html</r:filename><r:title>Full ROC Analysis for Eyewitness Lineups</r:title><r:created>2026-01-30 08:50:31</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>information_error_rate_analysis.Rmd</r:source><r:filename>information_error_rate_analysis.html</r:filename><r:title>Information and Error-Rate Metrics</r:title><r:created>2026-01-30 18:11:30</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>msdt_model.Rmd</r:source><r:filename>msdt_model.html</r:filename><r:title>mSDT: Multi-Item Signal Detection Theory</r:title><r:created>2026-02-01 15:01:38</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>multid_model.Rmd</r:source><r:filename>multid_model.html</r:filename><r:title>Multi-d': Lee and Penrod's Signal Detection Framework for Lineups</r:title><r:created>2026-10-28 16:57:03</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>Vignette.Rmd</r:source><r:filename>Vignette.html</r:filename><r:title>r4lineups MAIN vignette: Statistical Inference on Lineup Fairness</r:title><r:created>2026-01-29 21:00:22</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>rac_analysis.Rmd</r:source><r:filename>rac_analysis.html</r:filename><r:title>RAC Analysis: Response Time-Accuracy Characteristics</r:title><r:created>2026-06-21 20:53:56</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>sdt_summary_comparisons.Rmd</r:source><r:filename>sdt_summary_comparisons.html</r:filename><r:title>SDT Summary-Level Comparisons</r:title><r:created>2026-02-01 14:31:48</r:created><r:modified>2026-11-02 09:23:41</r:modified></r:article><r:article><r:source>sdt_glm_analysis.Rmd</r:source><r:filename>sdt_glm_analysis.html</r:filename><r:title>SDT via GLM/GLMM</r:title><r:created>2026-06-21 20:53:56</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article><r:article><r:source>pauc_statistical_comparison.Rmd</r:source><r:filename>pauc_statistical_comparison.html</r:filename><r:title>Statistical Comparison of ROC Curves (pAUC Analysis)</r:title><r:created>2026-01-30 19:01:47</r:created><r:modified>2026-11-02 09:23:41</r:modified></r:article><r:article><r:source>winter_2ht_model.Rmd</r:source><r:filename>winter_2ht_model.html</r:filename><r:title>Winter 2-HT Model</r:title><r:created>2026-01-30 18:11:30</r:created><r:modified>2026-10-31 17:35:08</r:modified></r:article></item></channel></rss>