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>.
| Version: | 1.1.1 |
| Depends: | MASS |
| Published: | 2019-10-02 |
| Author: | Solt Kovacs, Jozsef Kovacs, Peter Tanos |
| Maintainer: | Solt Kovacs <ccda at caesar.elte.hu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | ccda results |
| Reference manual: | ccda.pdf |
| Package source: | ccda_1.1.1.tar.gz |
| Windows binaries: | r-devel: ccda_1.1.1.zip, r-release: ccda_1.1.1.zip, r-oldrel: ccda_1.1.1.zip |
| macOS binaries: | r-release: ccda_1.1.1.tgz, r-oldrel: ccda_1.1.1.tgz |
| Old sources: | ccda archive |
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