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Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: to study the relationships between blocks and to identify subsets of variables of each block which are active in their relationships with the other blocks. This package allows to (i) run R/SGCCA and related methods, (ii) help the user to find out the optimal parameters for R/SGCCA such as regularization parameters (tau or sparsity), (iii) evaluate the stability of the RGCCA results and their significance, (iv) build predictive models from the R/SGCCA. (v) Generic print() and plot() functions apply to all these functionalities.
Version: | 3.0.3 |
Depends: | R (≥ 3.5) |
Imports: | caret, Deriv, ggplot2 (≥ 3.4.0), ggrepel, graphics, gridExtra, MASS, matrixStats, methods, parallel, pbapply, rlang, stats |
Suggests: | devtools, FactoMineR, knitr, pander, rmarkdown, rticles, testthat, vdiffr |
Published: | 2023-12-11 |
DOI: | 10.32614/CRAN.package.RGCCA |
Author: | Fabien Girka [aut], Etienne Camenen [aut], Caroline Peltier [aut], Arnaud Gloaguen [aut], Vincent Guillemot [aut], Laurent Le Brusquet [ths], Arthur Tenenhaus [aut, ths, cre] |
Maintainer: | Arthur Tenenhaus <arthur.tenenhaus at centralesupelec.fr> |
BugReports: | https://github.com/rgcca-factory/RGCCA/issues |
License: | GPL-3 |
URL: | https://github.com/rgcca-factory/RGCCA, https://rgcca-factory.github.io/RGCCA/ |
NeedsCompilation: | no |
Citation: | RGCCA citation info |
Materials: | README NEWS |
CRAN checks: | RGCCA results |
Reference manual: | RGCCA.pdf |
Vignettes: |
RGCCA |
Package source: | RGCCA_3.0.3.tar.gz |
Windows binaries: | r-devel: RGCCA_3.0.3.zip, r-release: RGCCA_3.0.3.zip, r-oldrel: RGCCA_3.0.3.zip |
macOS binaries: | r-release (arm64): RGCCA_3.0.3.tgz, r-oldrel (arm64): RGCCA_3.0.3.tgz, r-release (x86_64): RGCCA_3.0.3.tgz, r-oldrel (x86_64): RGCCA_3.0.3.tgz |
Old sources: | RGCCA archive |
Reverse suggests: | multiblock, RVAideMemoire |
Please use the canonical form https://CRAN.R-project.org/package=RGCCA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.