ccda: Combined Cluster and Discriminant Analysis

Share:

This package 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: http://dx.doi.org/10.1016/j.envsoft.2014.01.010

Author
Solt Kovacs, Jozsef Kovacs, Peter Tanos
Date of publication
2014-12-08 22:23:08
Maintainer
Solt Kovacs <ccda@caesar.elte.hu>
License
GPL-2
Version
1.1

View on CRAN

Man pages

ccda.main
Combined Cluster and Discriminant Analysis
percentage
Calculation of the ratio of correctly classified cases by...
plotccda.cluster
Plot of the basic grouping
plotccda.q95
CCDA density drawer
plotccda.results
Plot of the results of ccda.main

Files in this package

ccda
ccda/NAMESPACE
ccda/R
ccda/R/percentage.R
ccda/R/plotccda.cluster.R
ccda/R/ccda-internal.R
ccda/R/plotccda.results.R
ccda/R/ccda.main.R
ccda/R/plotccda.q95.R
ccda/MD5
ccda/DESCRIPTION
ccda/man
ccda/man/plotccda.q95.Rd
ccda/man/percentage.Rd
ccda/man/plotccda.cluster.Rd
ccda/man/plotccda.results.Rd
ccda/man/ccda.main.Rd