Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- 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
Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 2.4Latest
- 2.22026-07-15 · diff ↗ ·
removed 3 exports
create.prop, generate.cate.list, generate.cateclsadded 1 export
decideK - RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.1.0.12024-01-24 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.1.02022-11-28 · diff ↗
- unarchivedReturned to CRAN2022-09-07
- 0.1.12022-09-07 · diff ↗
- archivedRemoved from CRAN2022-04-29requires archived package 'dummies'
- RR 4.2.0 released · 2022-04-22
- 0.1.02022-01-06
- RR 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
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