Skip to content

Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

0packages depend
3.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 5.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
91%10 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
36%

Downloads

3.1K
CRAN downloads in the past year
Rank #11,619 · ~8/day · ~255/mo
Daily download trend is not available in this view yet.
34130 days
92590 days
3.1K1 year
Compare downloads with other packages →
Also on359 r2u4 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing mccca adds 33 packages (18 with compiled code, 42 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, sp 4.3 MB.

Depends (1)
R >= 4.1.0
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2022)
Releases (6)

Pick two releases to compare their code metrics.

  • 2.4Latest
    record
    2026-07-21 · current release · diff ↗
  • 2.2
    record
    2026-07-15 · diff ↗ ·
    removed 3 exports
    create.prop, generate.cate.list, generate.catecls
    added 1 export
    decideK
  • 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
    record
    2024-01-24 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.0
    record
    2022-11-28 · diff ↗
  • unarchivedReturned to CRAN
    2022-09-07
  • 0.1.1
    record
    2022-09-07 · diff ↗
  • archivedRemoved from CRAN
    2022-04-29
    requires archived package 'dummies'
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    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
56 KB

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 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 mccca version 2.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy