Package: modelskill
Type: Package
Title: Assessing and Visualising the Performance of Prediction Models
Version: 0.1.1
Authors@R: c(
    person(
      "Alexandre M.J.-C.", "Wadoux",
      email = "alexandre.wadoux@yahoo.fr",
      role = c("aut", "cre", "cph"),
      comment = c(ORCID = "0000-0001-7325-9716")
    )
    )
Description: Provides tools for evaluating continuous predictions and
        their associated predictive uncertainty from statistical,
        machine-learning, geostatistical, and process-based models. It
        implements complementary measures of prediction error,
        association, agreement, efficiency, uncertainty calibration,
        and predictive-distribution performance, together with Taylor,
        solar, target, coverage, probability integral transform, and
        quantile-coverage diagnostics. Methods include the integrated
        evaluation approach of Wadoux, Walvoort and Brus (2022)
        <doi:10.1016/j.geoderma.2021.115332> and the
        uncertainty-validation framework of Schmidinger and Heuvelink
        (2023) <doi:10.1016/j.geoderma.2023.116585>.
License: MIT + file LICENSE
URL: https://github.com/AlexandreWadoux/modelskill,
        https://alexandrewadoux.github.io/modelskill/
BugReports: https://github.com/AlexandreWadoux/modelskill/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown
Imports: ggplot2 (>= 3.5.0), ggrepel, viridis
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
VignetteBuilder: knitr
Repository: https://alexandrewadoux.r-universe.dev
Date/Publication: 2026-09-21 02:19:02 UTC
RemoteUrl: https://github.com/alexandrewadoux/modelskill
RemoteRef: HEAD
RemoteSha: 6bcd03833b0eb95fb717f9a073247308f3be2df7
NeedsCompilation: no
Packaged: 2026-09-21 05:14:49 UTC; root
Author: Alexandre M.J.-C. Wadoux [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-7325-9716>)
Maintainer: Alexandre M.J.-C. Wadoux <alexandre.wadoux@yahoo.fr>