Package: staccuracy 0.2.0.20241107

staccuracy: Standardized Accuracy and Other Model Performance Metrics

Standardized accuracy (staccuracy) is a framework for expressing accuracy scores such that 50% represents a reference level of performance and 100% is a perfect prediction. The 'staccuracy' package provides tools for creating staccuracy functions as well as some recommended staccuracy measures. It also provides functions for some classic performance metrics such as mean absolute error (MAE), root mean squared error (RMSE), and area under the receiver operating characteristic curve (AUCROC), as well as their winsorized versions when applicable.

Authors:Chitu Okoli [aut, cre]

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staccuracy.pdf |staccuracy.html
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NEWS

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

Peer review:

Bug tracker:https://github.com/tripartio/staccuracy/issues

On CRAN:

3.65 score 1 stars 1 packages 4 scripts 185 downloads 13 exports 21 dependencies

Last updated 13 days agofrom:bebfa57247. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winOKNov 07 2024
R-4.5-linuxOKNov 07 2024
R-4.4-winOKNov 07 2024
R-4.4-macOKNov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:aucrocmadmaermsesa_diffsa_mae_madsa_rmse_sdsa_wmae_madsa_wrmse_sdstaccuracywin_maewin_rmsewinsorize

Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr