Package: pminternal
Title: Internal Validation of Clinical Prediction Models
Version: 0.1.0
Authors@R: person(given = "Stephen", family = "Rhodes",
  email= "steverho89@gmail.com", role=c("aut", "cre", "cph"))
Maintainer: Stephen Rhodes <steverho89@gmail.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/stephenrho/pminternal,
        https://stephenrho.github.io/pminternal/
BugReports: https://github.com/stephenrho/pminternal/issues
Imports: dcurves, graphics, grDevices, insight, marginaleffects,
        methods, pmcalibration, pROC, stats, parallel, pbapply, purrr
Suggests: ggplot2, glmnet, Hmisc, knitr, rmarkdown, ranger, gbm, rms,
        mgcv, mice
VignetteBuilder: knitr
Config/Needs/website: rmarkdown
NeedsCompilation: no
Packaged: 2025-03-15 17:24:31 UTC; stephenrhodes
Author: Stephen Rhodes [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-18 08:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:59:14 UTC; unix
