Package: classmap
Type: Package
Title: Visualizing Classification Results
Date: 2021-12-30
Version: 1.2.0
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 (>= 3.5.0)
Suggests: knitr, reshape2, svd, rpart.plot, nnet, robCompositions
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise,
        cluster, kernlab, gridExtra, rpart, randomForest
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Description: Tools to visualize the results of a classification of cases.
    The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps.
    Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online.
    <doi:10.1080/00401706.2021.1927849> (open access) and Raymaekers and Rousseeuw (2021),
    Silhouettes and quasi residual plots for neural nets and tree-based classifiers,
    <arXiv:2106.08814>. Examples can be found in the vignettes:
    "Discriminant_analysis_examples","K_nearest_neighbors_examples",
    "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples",
    and "Neural_net_examples".
URL: https://doi.org/10.1080/00401706.2021.1927849,
        https://arxiv.org/abs/2106.08814
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-01-09 13:49:33 UTC; u0105404
Repository: CRAN
Date/Publication: 2022-01-09 22:22:41 UTC
Built: R 4.0.5; ; 2022-04-21 10:55:07 UTC; windows
