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) <doi:10.26076/2am5-9f67>. The other primary contribution of
    this package is provided to R users access to the 'Python' library 'PyCaret'
    <https://pycaret.org/> 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: 2024-05-01 02:41:58 UTC; 14357
Author: Sam Haycock [aut, cre],
  Brennan Bean [aut],
  Utah State University [cph, fnd],
  Thermo Fisher Scientific Inc. [fnd]
Maintainer: Sam Haycock <haycock.sam@outlook.com>
Repository: CRAN
Date/Publication: 2024-05-01 04:00:03 UTC
Built: R 4.6.0; ; 2026-04-29 08:30:24 UTC; unix
