Package: stressor Type: Package Title: Algorithms for Testing Models under Stress Version: 0.2.0 Authors@R: c( person("Sam", "Haycock", email = "haycock.sam@outlook.com", role = c("aut", "cre")), person("Brennan", "Bean", email = "brennan.bean@usu.edu", role = c("aut")), person("Utah State University", role = c("cph", "fnd")), person("Thermo Fisher Scientific", "Inc.", role = c("fnd")) ) Description: Traditional model evaluation metrics fail to capture model performance under less than ideal conditions. This package employs techniques to evaluate models "under-stress". This includes testing models' extrapolation ability, or testing accuracy on specific sub-samples of the overall model space. Details describing stress-testing methods in this package are provided in Haycock (2023) . The other primary contribution of this package is provided to R users access to the 'Python' library 'PyCaret' for quick and easy access to auto-tuned machine learning models. License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 SystemRequirements: python(>=3.8.10) Suggests: knitr, rmarkdown, ggplot2, mlbench, testthat (>= 3.0.0) Config/testthat/edition: 3 Imports: reticulate, stats, dplyr VignetteBuilder: knitr Depends: R (>= 3.5) NeedsCompilation: no Packaged: 2026-10-10 15:50:39 UTC; root Author: Sam Haycock [aut, cre], Brennan Bean [aut], Utah State University [cph, fnd], Thermo Fisher Scientific Inc. [fnd] Maintainer: Sam Haycock Config/pak/sysreqs: libpng-dev python3 Repository: https://samhaycock.r-universe.dev Date/Publication: 2024-05-02 02:37:27 UTC RemoteUrl: https://github.com/cran/stressor RemoteRef: HEAD RemoteSha: d00feeb9b6002ca51363653f352c44841db5096c