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.).
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 2.2 |
URL | https://github.com/nicolas-robette/GDAtools https://nicolas-robette.github.io/GDAtools/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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