# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "retestR" in publications use:' type: software license: MIT title: 'retestR: Model-Based Anomaly Detection for Repeat Test-Takers' version: 0.1.0 doi: 10.32614/CRAN.package.retestR abstract: '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, ), and differential response speed under a lognormal response-time model (van der Linden, 2006, ). Evidence is combined into a risk index calibrated by parametric bootstrap under the no-misconduct model, so flagging thresholds carry explicit false-positive rates.' authors: - family-names: Edi given-names: Daniel email: danieledi2026@gmail.com orcid: https://orcid.org/0000-0001-5475-819X repository: https://edidatasolutions.r-universe.dev repository-code: https://github.com/edidatasolutions/retestR commit: df8b9a7721f63baaf1001a160b88f6e22b7a3782 url: https://edidatasolutions.github.io/retestR/ date-released: '2026-10-09' contact: - family-names: Edi given-names: Daniel email: danieledi2026@gmail.com orcid: https://orcid.org/0000-0001-5475-819X