mccca
2.4Visualizing 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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 91%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 36%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- 2.4Latest
- 2.22026-07-15 · diff ↗
- 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 ↗
- 0.1.12022-09-07 · diff ↗
- unarchivedReturned to CRAN2022-09-07
- 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
- 31 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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