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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0.1 |
rolling linux/jammy R-4.5 | mccca_1.1.0.1.tar.gz |
162.2 KiB |
1.1.0.1 |
rolling linux/noble R-4.5 | mccca_1.1.0.1.tar.gz |
163.7 KiB |
1.1.0.1 |
rolling source/ R- | mccca_1.1.0.1.tar.gz |
31.0 KiB |
1.1.0.1 |
latest linux/jammy R-4.5 | mccca_1.1.0.1.tar.gz |
162.2 KiB |
1.1.0.1 |
latest linux/noble R-4.5 | mccca_1.1.0.1.tar.gz |
163.7 KiB |
1.1.0.1 |
latest source/ R- | mccca_1.1.0.1.tar.gz |
31.0 KiB |
1.1.0.1 |
2026-04-26 source/ R- | mccca_1.1.0.1.tar.gz |
31.0 KiB |
1.1.0.1 |
2026-04-23 source/ R- | mccca_1.1.0.1.tar.gz |
31.0 KiB |
1.1.0.1 |
2026-04-09 windows/windows R-4.5 | mccca_1.1.0.1.zip |
480.1 KiB |
1.1.0.1 |
2025-04-20 source/ R- | mccca_1.1.0.1.tar.gz |
31.0 KiB |