Other packages > Find by keyword >

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 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:19), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA