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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>.

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

Documentation:

Reference manual:ccda.html ,ccda.pdf

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ccdato link to this page.


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