Package: correctR 0.2.1

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:Trent Henderson [cre, aut]

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correctR/json (API)

# Install 'correctR' in R:
install.packages('correctR', repos = c('https://hendersontrent.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hendersontrent/correctr/issues

On CRAN:

hypothesis-testingmachine-learningstatistics

3 exports 10 stars 1.71 score 0 dependencies 1 dependents 7 scripts 336 downloads

Last updated 6 months agofrom:cf8312058f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:kfold_ttestrepkfold_ttestresampled_ttest

Dependencies:

Introduction to correctR

Rendered fromcorrectR.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2024-03-13
Started: 2022-12-16