ccda
Combined Cluster and Discriminant Analysis
Implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. <doi:10.1016/j.envsoft.2014.01.010>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | ccda_1.1.1.tar.gz |
27.2 KiB |
1.1.1 |
rolling linux/noble R-4.5 | ccda_1.1.1.tar.gz |
27.2 KiB |
1.1.1 |
rolling source/ R- | ccda_1.1.1.tar.gz |
4.9 KiB |
1.1.1 |
latest linux/jammy R-4.5 | ccda_1.1.1.tar.gz |
27.2 KiB |
1.1.1 |
latest linux/noble R-4.5 | ccda_1.1.1.tar.gz |
27.2 KiB |
1.1.1 |
latest source/ R- | ccda_1.1.1.tar.gz |
4.9 KiB |
1.1.1 |
2026-04-26 source/ R- | ccda_1.1.1.tar.gz |
4.9 KiB |
1.1.1 |
2026-04-23 source/ R- | ccda_1.1.1.tar.gz |
4.9 KiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | ccda_1.1.1.zip |
29.8 KiB |
1.1.1 |
2025-04-20 source/ R- | ccda_1.1.1.tar.gz |
4.9 KiB |