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mccca

2.4

Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

0packages depend
2.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Mariko TakagishiFirst published 2022-01-066 releasesCRAN page ↗

Provides functions for performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the package are described in Mariko Takagishi and Michel van de Velden (2022)doi:10.1080/10618600.2022.2035737.

Install

Health

CRAN checks
13OK
Slowest check: 6.1 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
13
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
91%
Documented parameters
100%
Return-value docs
100%
References docs
36%

Downloads

2.8K
CRAN downloads in the past year
Rank #10,989 · ~8/day · ~232/mo
Daily download trend is not available in this view yet.
34930 days
90490 days
2.8K1 year
Compare downloads with other packages →
Also on385 r2u10 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 2.4Latest
    2026-07-21 · current release · diff ↗
  • 2.2
    2026-07-15 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0.1
    2024-01-24 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.0
    2022-11-28 · diff ↗
  • 0.1.1
    2022-09-07 · diff ↗
  • unarchivedReturned to CRAN
    2022-09-07
  • archivedRemoved from CRAN
    2022-04-29
    requires archived package 'dummies'
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    2022-01-06
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-01-06
Total releases
6 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
7.7 KB / 2 files
Download size
31 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mccca")
Takagishi, M. (2026). mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data (Version 2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.mccca

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 mccca version 2.4 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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