Type: Package Package: RGCCA Title: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data Version: 3.0.3 Authors@R: c( person("Fabien", "Girka", role = "aut"), person("Etienne", "Camenen", role = "aut"), person("Caroline", "Peltier", role = "aut"), person("Arnaud", "Gloaguen", role = "aut"), person("Vincent", "Guillemot", role = "aut"), person("Laurent", "Le Brusquet", role = c("ths")), person("Arthur", "Tenenhaus", email = "arthur.tenenhaus@centralesupelec.fr", role = c("aut", "ths", "cre"))) Maintainer: Arthur Tenenhaus Description: 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. License: GPL-3 Depends: R (>= 3.5) Imports: abind, 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 VignetteBuilder: knitr LazyData: true RoxygenNote: 7.3.1 Encoding: UTF-8 URL: https://github.com/rgcca-factory/RGCCA, https://rgcca-factory.github.io/RGCCA/ BugReports: https://github.com/rgcca-factory/RGCCA/issues Config/pak/sysreqs: libicu-dev Repository: https://rgcca-factory.r-universe.dev Date/Publication: 2025-10-21 08:47:21 UTC RemoteUrl: https://github.com/rgcca-factory/rgcca RemoteRef: HEAD RemoteSha: 85238a2dce72f086a9f3f7d19d606604ff0eac92 NeedsCompilation: no Packaged: 2026-06-19 11:11:08 UTC; root 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]