pminternal: Internal Validation of Clinical Prediction Models

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
Published: 2025年03月18日
Author: Stephen Rhodes [aut, cre, cph]
Maintainer: Stephen Rhodes <steverho89 at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: pminternal results

Documentation:

Reference manual: pminternal.html , pminternal.pdf

Downloads:

Windows binaries: r-devel: pminternal_0.1.0.zip, r-release: pminternal_0.1.0.zip, r-oldrel: pminternal_0.1.0.zip
macOS binaries: r-release (arm64): pminternal_0.1.0.tgz, r-oldrel (arm64): pminternal_0.1.0.tgz, r-release (x86_64): pminternal_0.1.0.tgz, r-oldrel (x86_64): pminternal_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pminternal to link to this page.

AltStyle によって変換されたページ (->オリジナル) /