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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
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:

Please use the canonical form https://CRAN.R-project.org/package=correctR 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.