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RGCCA  

Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
View on CRAN: Click here


Download and install RGCCA package within the R console
Install from CRAN:
install.packages("RGCCA")

Install from Github:
library("remotes")
install_github("cran/RGCCA")

Install by package version:
library("remotes")
install_version("RGCCA", "3.0.3")



Attach the package and use:
library("RGCCA")
Maintained by
Arthur Tenenhaus
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2023-12-11
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.
How to cite:
Arthur Tenenhaus (2012). RGCCA: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data. R package version 3.0.3, https://cran.r-project.org/web/packages/RGCCA. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0 (2012-10-29 08:57), 2.0 (2013-07-24 18:50), 2.1.1 (2017-04-30 23:42), 2.1.2 (2017-05-11 08:06), 2.1 (2017-01-22 11:25), 3.0.0 (2023-04-27 11:32), 3.0.1 (2023-05-08 10:10), 3.0.2 (2023-10-09 17:40)
Other packages that cited RGCCA R package
View RGCCA citation profile
Other R packages that RGCCA depends, imports, suggests or enhances
Complete documentation for RGCCA
Functions, R codes and Examples using the RGCCA R package
Some associated functions: BinarySearch . Russett . cov2 . defl.select . miscrossprod . rgcca . rgccak . scale2 . sgcca . sgccak . soft . soft.threshold . tau.estimate . 
Some associated R codes: BinarySearch.R . cov2.R . defl.select.R . deflation.R . initsvd.R . miscrossprod.R . norm2.R . rgcca.R . rgccak.R . scale2.R . sgcca.R . sgccak.R . soft.R . soft.threshold.R . tau.estimate.R .  Full RGCCA package functions and examples
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