mccca: Visualizing Class Specific Heterogeneous Tendencies in
Categorical Data
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 refers to Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
magic, stringr, ggplot2, wordcloud, RColorBrewer, stats, utils, grDevices |
| Published: |
2022-09-07 |
| Author: |
Mariko Takagishi [aut, cre] |
| Maintainer: |
Mariko Takagishi <m.takagishi0728 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
mccca results |
Documentation:
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