cases: Stratified Evaluation of Subgroup Classification Accuracy

Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons. Statistical Methods in Medical Research. 2024;0(0). <doi:10.1177/09622802241236933>).

Version:	0.2.0
Depends:	R (≥ 2.10)
Imports:	bindata, boot, copula, corrplot, dplyr, extraDistr, magrittr, Matrix, multcomp, mvtnorm, ggplot2
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, covr, badger, glmnet, splitstackshape
Published:	2025-01-09
DOI:	10.32614/CRAN.package.cases
Author:	Max Westphal [aut, cre]
Maintainer:	Max Westphal <dev at maxwestphal.io>
BugReports:	https://github.com/maxwestphal/cases/issues
License:	MIT + file LICENSE
URL:	https://github.com/maxwestphal/cases, https://maxwestphal.github.io/cases/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	cases results

Documentation:

Reference manual:	cases.pdf
Vignettes:	Real-world example: biomarker assessment and prediction model evaluation (source, R code) R package cases: overview (source, R code)

Downloads:

Package source:	cases_0.2.0.tar.gz
Windows binaries:	r-devel: cases_0.1.1.zip, r-release: cases_0.1.1.zip, r-oldrel: cases_0.1.1.zip
macOS binaries:	r-release (arm64): cases_0.2.0.tgz, r-oldrel (arm64): cases_0.2.0.tgz, r-release (x86_64): cases_0.2.0.tgz, r-oldrel (x86_64): cases_0.2.0.tgz
Old sources:	cases archive

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