Conduct internal validation of a clinical prediction model for a binary outcome. Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope) via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism, CV average). Also includes functions to assess model stability via bootstrap resampling. See Steyerberg et al. (2001) <doi:10.1016/s0895-4356(01)00341-9>; Harrell (2015) <doi:10.1007/978-3-319-19425-7>; Riley and Collins (2023) <doi:10.1002/bimj.202200302>.
Version: 0.1.0 Imports: dcurves, graphics, grDevices, insight, marginaleffects, methods, pmcalibration, pROC, stats, parallel, pbapply, purrr Suggests: ggplot2, glmnet, Hmisc, knitr, rmarkdown, ranger, gbm, rms, mgcv, mice Published: 2025-03-18 DOI: 10.32614/CRAN.package.pminternal Author: Stephen Rhodes [aut, cre, cph] Maintainer: Stephen Rhodes <steverho89 at gmail.com> BugReports: https://github.com/stephenrho/pminternal/issues License: GPL-3 URL: https://github.com/stephenrho/pminternal, https://stephenrho.github.io/pminternal/ NeedsCompilation: no Citation: pminternal citation info Materials: README NEWS CRAN checks: pminternal results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pminternal to link to this page.
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