GDAtools: A Toolbox for the Analysis of Categorical Data in Social Sciences, and Especially Geometric Data Analysis

Contains functions for 'specific' MCA (Multiple Correspondence Analysis), 'class specific' MCA, computing and plotting structuring factors and concentration ellipses, Multiple Factor Analysis, 'standardized' MCA, inductive tests and others tools for Geometric Data Analysis. It also provides functions for the translation of logit models coefficients into percentages, weighted contingency tables and an association measure - i.e. Percentages of Maximum Deviation from Independence (PEM).

Version: 1.4
Depends: FactoMineR, nleqslv, nnet
Suggests: cluster, WeightedCluster
Published: 2017-03-07
Author: Nicolas Robette
Maintainer: Nicolas Robette <nicolas.robette at uvsq.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://nicolas.robette.free.fr/outils_eng.html
NeedsCompilation: no
Materials: NEWS
CRAN checks: GDAtools results

Downloads:

Reference manual: GDAtools.pdf
Package source: GDAtools_1.4.tar.gz
Windows binaries: r-prerel: GDAtools_1.4.zip, r-release: GDAtools_1.4.zip, r-oldrel: GDAtools_1.4.zip
OS X binaries: r-prerel: GDAtools_1.4.tgz, r-release: GDAtools_1.4.tgz
Old sources: GDAtools archive

Reverse dependencies:

Reverse suggests: explor

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