https://omarfaruqe.r-universe.devRecent package updates in omarfaruqeR-universehttps://github.com/omarfaruqe.pnghttps://omarfaruqe.r-universe.devThu, 12 Nov 2026 04:01:37 GMTfaruqe@ru.ac.bd (Md Omar Faruqe)Evaluates antimicrobial resistance phenotype predictions made by external models and rule-based tools against phenotypic reference results, accounting for the population structure of bacterial isolates. Provides a documented data contract and input validation; classification and probability metrics and antimicrobial susceptibility testing agreement metrics (categorical agreement, very major, major and minor errors, essential agreement) per species and antimicrobial; checks for overlap between training and test isolates; performance by genomic distance to the training data; cluster bootstrap intervals and paired model comparisons; calibration; prevalence-adjusted predictive values; and reports aligned with the TRIPOD+AI checklist (Collins et al. (2024) <doi:10.1136/bmj-2023-078378>). Organism and antimicrobial identifiers use the classes of the 'AMR' package. Models are not trained inside the package.https://github.com/r-universe/omarfaruqe/actions/runs/43157193573Thu, 12 Nov 2026 04:01:37 GMTAMRvalid1.0.0successhttps://omarfaruqe.r-universe.devhttps://github.com/omarfaruqe/AMRvalidncbi-kpneumoniae.Rmdncbi-kpneumoniae.htmlEvaluating rule-based predictors on public data2026-11-03 04:06:492026-11-03 18:03:11population-aware-evaluation.Rmdpopulation-aware-evaluation.htmlWhy population-aware evaluation matters2026-10-31 17:58:162026-11-03 21:43:23