Package: classmap
Type: Package
Title: Visualizing Classification Results
Date: 2026-04-28
Version: 1.2.7
Authors@R: c(
            person(given="Jakob",family="Raymaekers", role = c("aut","cre"),
            email="jakob.raymaekers@kuleuven.be"),
            person(given="Peter",family="Rousseeuw", role = c("aut")) 
             )
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Depends: R (>= 4.1.0)
Suggests: knitr, reshape2, svd, rpart.plot, nnet, robCompositions,
        rmarkdown, fairml, robustHD, vioplot
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise,
        cluster, kernlab, gridExtra, rpart, randomForest, scales,
        lpSolve, diptest
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Description: Tools to visualize the results of a classification or a
        regression. The graphical displays include stacked plots,
        silhouette plots, quasi residual plots, class maps, predictions
        plots, and predictions correlation plots. Implements the
        techniques described and illustrated in Raymaekers J.,
        Rousseeuw P.J., Hubert M. (2022). Class maps for visualizing
        classification results. \emph{Technometrics}, 64(2), 151–165.
        <doi:10.1080/00401706.2021.1927849> (open access), Raymaekers
        J., Rousseeuw P.J.(2022). Silhouettes and quasi residual plots
        for neural nets and tree-based classifiers. \emph{Journal of
        Computational and Graphical Statistics}, 31(4), 1332–1343.
        <doi:10.1080/10618600.2022.2050249>, and Rousseeuw, P.J.
        (2026). Explainable Linear and Generalized Linear Models by the
        Predictions Plot. The American Statistician, 80, 157-163,
        <doi:10.1080/00031305.2025.2539235> (open access), and
        Montalcini, C., Rousseeuw, P.J. (2025). The bixplot: A
        variation on the boxplot suited for bimodal data,
        <doi:10.48550/arXiv.2510.09276> (open access). Examples can be
        found in the vignettes:
        "Discriminant_analysis_examples","K_nearest_neighbors_examples",
        "Support_vector_machine_examples", "Rpart_examples",
        "Random_forest_examples", "Neural_net_examples",
        "predsplot_examples", and "bixplot_examples".
URL: <doi:10.1080/00401706.2021.1927849>,
        <doi:10.1080/10618600.2022.2050249>,
        <doi:10.1080/00031305.2025.2539235>,
        <doi:10.48550/arXiv.2510.09276>
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2026-07-04 09:04:04 UTC; root
Config/pak/sysreqs: libicu-dev
Repository: https://jakobraymaekers.r-universe.dev
Date/Publication: 2026-04-29 14:34:38 UTC
RemoteUrl: https://github.com/cran/classmap
RemoteRef: HEAD
RemoteSha: fff8dbab45bcd2adf4e3ce8f5ba9c5db9e768a32