Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

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Documentation for package ‘RGCCA’ version 3.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

available_methods	Available methods for RGCCA
ECSI	European Customer Satisfaction Index
plot.bootstrap	Plot a fitted rgcca_bootstrap object
plot.cval	Plot for cross-validation
plot.permutation	Plot a fitted rgcca permutation object
plot.rgcca	Plot for RGCCA
plot.stability	Plot a rgcca_stability object.
print.bootstrap	Print a rgcca_bootstrap object
print.cval	Print a rgcca_cv object
print.permutation	Print a rgcca_permutation object
print.rgcca	Print the call of rgcca results
print.stability	Print a rgcca_stability object.
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