GDAtools: Geometric Data Analysis
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.).
Version: |
2.1 |
Imports: |
descriptio (≥ 1.2), FactoMineR, ggplot2, ggrepel, rlang |
Suggests: |
R.rsp, rmarkdown, knitr, rmdformats, TraMineR, sf, shiny, miniUI, esquisse, rclipboard, factoextra, ade4 |
Published: |
2024-03-07 |
DOI: |
10.32614/CRAN.package.GDAtools |
Author: |
Nicolas Robette [aut, cre] |
Maintainer: |
Nicolas Robette <nicolas.robette at uvsq.fr> |
BugReports: |
https://github.com/nicolas-robette/GDAtools/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/nicolas-robette/GDAtools,
https://nicolas-robette.github.io/GDAtools/ |
NeedsCompilation: |
no |
Citation: |
GDAtools citation info |
Materials: |
README NEWS |
CRAN checks: |
GDAtools results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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