Installation
About
Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) doi:10.1007/1-4020-2236-0), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).
| Citation | GDAtools citation info |
| github.com/nicolas-robette/GDAtools | |
| nicolas-robette.github.io/GDAtools/ | |
| Bug report | File report |
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