Package: modelcardr
Type: Package
Title: Machine Learning Prediction Auditing and Model Card Reporting
Version: 0.1.0
Authors@R: person(given = "Georgios P.", family = "Georgiou", email = "georgiou.georg@unic.ac.cy", role = c("aut", "cre"))
Description: Audits predictions from fitted machine learning models without
    requiring retraining or access to the fitted model object. It supports
    binary classification, multiclass classification, and regression,
    providing performance metrics with bootstrap confidence intervals,
    calibration and threshold analyses, residual diagnostics, subgroup
    comparisons, user-defined acceptance criteria, risk warnings, and
    self-contained reports. For binary-classification and regression models,
    the package can also assemble and render structured model cards documenting
    intended use, evaluation data, performance, subgroup results, assumptions,
    and limitations. The model-card reporting approach is described by
    Mitchell et al. (2019) "Model Cards for Model Reporting"
    <doi:10.1145/3287560.3287596>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, stats, tools, utils, withr
Suggests: testthat (>= 3.0.0), jsonlite
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-21 11:52:36 UTC; georg
Author: Georgios P. Georgiou [aut, cre]
Maintainer: Georgios P. Georgiou <georgiou.georg@unic.ac.cy>
Repository: CRAN
Date/Publication: 2026-07-30 16:40:02 UTC
Built: R 4.7.0; ; 2026-07-30 23:51:18 UTC; windows
