GDAtools (1.4)

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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).

Maintainer: Nicolas Robette
Author(s): Nicolas Robette

License: GPL (>= 2)

Uses: FactoMineR, nleqslv, nnet, cluster, WeightedCluster
Reverse suggests: explor

Released almost 3 years ago.

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