R: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

# Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

## Documentation for package ‘RGCCA’ version 3.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

available_methods | Available methods for RGCCA
ECSI | European Customer Satisfaction Index
plot.rgcca | Plot a fitted object from the RGCCA package
plot.rgcca_bootstrap | Plot a fitted object from the RGCCA package
plot.rgcca_cv | Plot a fitted object from the RGCCA package
plot.rgcca_permutation | Plot a fitted object from the RGCCA package
plot.rgcca_stability | Plot a fitted object from the RGCCA package
print.rgcca | Print a fitted object from the RGCCA package
print.rgcca_bootstrap | Print a fitted object from the RGCCA package
print.rgcca_cv | Print a fitted object from the RGCCA package
print.rgcca_permutation | Print a fitted object from the RGCCA package
print.rgcca_stability | Print a fitted object from the RGCCA package
rgcca | Regularized Generalized Canonical Correlation Analysis (RGCCA)
rgcca_bootstrap | Bootstrap confidence intervals and p-values
rgcca_cv | Tune RGCCA parameters by cross-validation
rgcca_permutation | Tune the S/RGCCA hyper-parameters by permutation
rgcca_predict | Make predictions using RGCCA
rgcca_stability | Identify the most stable variables with SGCCA
rgcca_transform | Reduce dimensionality using RGCCA
Russett | Russett data
summary.rgcca | Summary of a fitted object from the RGCCA package
summary.rgcca_bootstrap | Summary of a fitted object from the RGCCA package
summary.rgcca_cv | Summary of a fitted object from the RGCCA package
summary.rgcca_permutation | Summary of a fitted object from the RGCCA package
summary.rgcca_stability | Summary of a fitted object from the RGCCA package