correctR: Corrected Test Statistics for Comparing Machine Learning Models on Correlated Samples

Calculate a set of corrected test statistics for cases when samples are not independent, such as when classification accuracy values are obtained over resamples or through k-fold cross-validation, as proposed by Nadeau and Bengio (2003) <doi:10.1023/A:1024068626366> and presented in Bouckaert and Frank (2004) <doi:10.1007/978-3-540-24775-3_3>.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: stats
Suggests: knitr, markdown, rmarkdown, pkgdown, testthat (≥ 3.0.0)
Published: 2024-03-13
DOI: NA
Author: Trent Henderson [cre, aut]
Maintainer: Trent Henderson <then6675 at uni.sydney.edu.au>
BugReports: https://github.com/hendersontrent/correctR/issues
License: MIT + file LICENSE
URL: https://hendersontrent.github.io/correctR/
NeedsCompilation: no
Materials: README
CRAN checks: correctR results

Documentation:

Reference manual: correctR.pdf
Vignettes: Introduction to correctR

Downloads:

Package source: correctR_0.2.1.tar.gz
Windows binaries: r-devel: correctR_0.2.1.zip, r-release: correctR_0.2.1.zip, r-oldrel: correctR_0.2.1.zip
macOS binaries: r-release (arm64): correctR_0.2.1.tgz, r-oldrel (arm64): correctR_0.2.1.tgz, r-release (x86_64): correctR_0.2.1.tgz, r-oldrel (x86_64): correctR_0.2.1.tgz
Old sources: correctR archive

Reverse dependencies:

Reverse imports: theftdlc

Linking:

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