Introduction | Random subsampling correction | k-fold cross-validation correction | Repeated k-fold cross-validation correction | Setup | Package functionality
Package: correctR 0.3.1
Trent Henderson
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>.
Authors:
correctR_0.3.1.tar.gz
correctR_0.3.1.zip(r-4.7)correctR_0.3.1.zip(r-4.6)correctR_0.3.1.zip(r-4.5)
correctR_0.3.1.tgz(r-4.6-any)correctR_0.3.1.tgz(r-4.5-any)
correctR_0.3.1.tar.gz(r-4.7-any)correctR_0.3.1.tar.gz(r-4.6-any)
correctR_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
correctR/json (API)
| # Install 'correctR' in R: |
| install.packages('correctR', repos = c('https://hendersontrent.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hendersontrent/correctr/issues
Pkgdown/docs site:https://hendersontrent.github.io
hypothesis-testingmachine-learningstatistics
Last updated from:78b160ce0a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 159 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 109 | ||
| macos-oldrel-arm64 | OK | 73 | ||
| windows-devel | OK | 78 | ||
| windows-release | OK | 119 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 95 |
Exports:kfold_ttestrepkfold_ttestresampled_ttest
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Corrections For Correlated Test Statistics | correctR-package correctR |
| Compute correlated t-statistic and p-value for k-fold cross-validated results | kfold_ttest |
| Compute correlated t-statistic and p-value for repeated k-fold cross-validated results | repkfold_ttest |
| Compute correlated t-statistic and p-value for resampled data | resampled_ttest |