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 (may not be active yet) |
| 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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