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.
Version: 0.2.2 Depends: R (≥ 4.2.0) Imports: cli, dplyr, methods, purrr, rlang, stringr, tidyr Suggests: autogam, testthat (≥ 3.0.0) Published: 2025-02-23 DOI: 10.32614/CRAN.package.staccuracy Author: Chitu Okoli [aut, cre] Maintainer: Chitu Okoli <Chitu.Okoli at skema.edu> BugReports: https://github.com/tripartio/staccuracy/issues License: MIT + file LICENSE URL: https://github.com/tripartio/staccuracy, https://tripartio.github.io/staccuracy/ NeedsCompilation: no Language: en-US Materials: README, NEWS CRAN checks: staccuracy results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=staccuracy to link to this page.
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