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