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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
DOI: 10.32614/CRAN.package.cases
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, r-oldrel (x86_64): cases_0.1.1.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.