Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data


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Documentation for package ‘RGCCA’ version 3.0.3

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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