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).
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