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classmap

1.2.7Package record

Visualizing Classification Results

0packages depend
4.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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".

Install

Health

CRAN checks
13OK
Slowest check: 12.8 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-07
  • ERROR12 OK, 1 ERROR2026-06-27
  • OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-08
  • WARNING12 OK, 1 WARNING2026-05-07
  • OK14 OK2026-03-12
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.2.7
READMENoVignettesYes · 8 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
28
Examples that run
93%26 run in a plain check · 2 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
82%

Downloads

4.1K
CRAN downloads in the past year
Rank #7,233 · ~11/day · ~342/mo
Daily download trend is not available in this view yet.
44130 days
1.2K90 days
4.1K1 year
Compare downloads with other packages →
Also on145 r2u11 autocran

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)

Installing classmap adds 40 packages (26 with compiled code, 41 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, cellWise 4.5 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2021)
Releases (9)

Pick two releases to compare their code metrics.

  • 1.2.7Latest
    record
    2026-04-29 · current release · diff ↗ ·
    added 2 exports
    bixplot, pamc1d
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.6
    record
    2025-07-14 · diff ↗ ·
    added 2 exports
    predsplot, predscor
  • 1.2.5
    record
    2025-06-18 · diff ↗
  • 1.2.4
    record
    2025-05-14 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.3
    record
    2023-04-23 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.0
    record
    2022-01-09 · diff ↗ ·
    added 1 export
    qresplot
  • 1.1.1
    record
    2021-07-25 · diff ↗
  • 1.1.0
    record
    2021-06-27 · diff ↗ ·
    added 7 exports
    vcr.rpart.train, vcr.rpart.newdata, vcr.forest.train, vcr.forest.newdata, vcr.neural.train, vcr.neural.newdata, silplot
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    record
    2021-05-10
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-05-10
Total releases
9 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
401 KB / 5 files
Download size
1.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("classmap")
Raymaekers, J., & Rousseeuw, P. (2026). classmap: Visualizing Classification Results (Version 1.2.7) [Computer software]. https://doi.org/10.32614/CRAN.package.classmap

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for classmap version 1.2.7 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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