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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 |
DOI: | 10.32614/CRAN.package.ccda |
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 (arm64): ccda_1.1.1.tgz, r-oldrel (arm64): ccda_1.1.1.tgz, r-release (x86_64): ccda_1.1.1.tgz, r-oldrel (x86_64): ccda_1.1.1.tgz |
Old sources: | ccda archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.