retestR: Model-Based Anomaly Detection for Repeat Test-Takers

Flags repeat test-takers whose second-attempt performance departs from what a growth model predicts, using independent evidence sources: model-expected score gain (accounting for regression to the mean, time between attempts and remediation), differential performance on exposed versus new items (Sinharay, 2017, <doi:10.3102/1076998616673872>), and differential response speed under a lognormal response-time model (van der Linden, 2006, <doi:10.3102/10769986031002181>). Evidence is combined into a risk index calibrated by parametric bootstrap under the no-misconduct model, so flagging thresholds carry explicit false-positive rates.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	stats, utils
Suggests:	knitr, markdown
Published:	2026-10-08
DOI:	10.32614/CRAN.package.retestR
Author:	Daniel Edi [aut, cre, cph]
Maintainer:	Daniel Edi <danieledi2026 at gmail.com>
BugReports:	https://github.com/edidatasolutions/retestR/issues
License:	MIT + file LICENSE
URL:	https://github.com/edidatasolutions/retestR, https://edidatasolutions.github.io/retestR/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	retestR results

Documentation:

Reference manual:	retestR.html , retestR.pdf
Vignettes:	Model-based flagging of repeat test-takers (source, R code)

Downloads:

Package source:	retestR_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: retestR_0.1.0.zip
macOS binaries:	r-release (arm64): retestR_0.1.0.tgz, r-oldrel (arm64): retestR_0.1.0.tgz, r-release (x86_64): retestR_0.1.0.tgz, r-oldrel (x86_64): retestR_0.1.0.tgz

Linking:

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