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: 2026-10-06 08:33:07 UTC; root
Author: Georgios P. Georgiou [aut, cre]
Maintainer: Georgios P. Georgiou <georgiou.georg@unic.ac.cy>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-30 16:40:02 UTC
RemoteUrl: https://github.com/cran/modelcardr
RemoteRef: HEAD
RemoteSha: edae76d9c5893ceb51f6f9c4a2c157375f037b46