ccda: Combined Cluster and Discriminant Analysis
Version 1.1

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

AuthorSolt Kovacs, Jozsef Kovacs, Peter Tanos
Date of publication2014-12-08 22:23:08
MaintainerSolt Kovacs <ccda@caesar.elte.hu>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ccda")

Popular 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
See all...

All man pages Function index File listing

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

Functions

ccda.main Man page Source code
percentage Man page Source code
plotccda.cluster Man page Source code
plotccda.q95 Man page Source code
plotccda.results Man page Source code

Files

NAMESPACE
R
R/percentage.R
R/plotccda.cluster.R
R/ccda-internal.R
R/plotccda.results.R
R/ccda.main.R
R/plotccda.q95.R
MD5
DESCRIPTION
man
man/plotccda.q95.Rd
man/percentage.Rd
man/plotccda.cluster.Rd
man/plotccda.results.Rd
man/ccda.main.Rd
ccda documentation built on May 19, 2017, 2:38 p.m.

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