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>
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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ccda_1.1.1.tgz, r-release (x86_64): ccda_1.1.1.tgz, r-oldrel: ccda_1.1.1.tgz
Old sources: ccda archive


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