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
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.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

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