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, Max, and Antonia Zapf. (2021). "Statistical Inference for Diagnostic Test Accuracy Studies with Multiple Comparisons." <doi:10.48550/arXiv.2105.13469>.)

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: bindata, boot, copula, corrplot, dplyr, extraDistr, magrittr, Matrix, multcomp, mvtnorm, ggplot2
Suggests: testthat (≥ 3.0.0), knitr, readr, rmarkdown, covr, badger, glmnet, splitstackshape
Published: 2023-05-18
Author: Max Westphal ORCID iD [aut, cre]
Maintainer: Max Westphal <max.westphal at steady.ai>
BugReports: https://github.com/maxwestphal/cases/issues
License: MIT + file LICENSE
URL: https://github.com/maxwestphal/cases
NeedsCompilation: no
Materials: README
CRAN checks: cases results

Documentation:

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

Downloads:

Package source: cases_0.1.1.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_0.1.1.tgz, r-oldrel (arm64): cases_0.1.1.tgz, r-release (x86_64): cases_0.1.1.tgz

Linking:

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