Multiblock data analysis with the RGCCA package

International audienceMultiblock component methods aim to study the relationships between several sets of variables. Regularized Generalized Canonical Correlation Analysis (RGCCA) is a unified and flexible framework that gathers fifty years of multiblock component methods. RGCCA offers a unified implementation strategy for all these methods. This implementation is made available within the RGCCA package. In addition, the RGCCA package produces graphical outputs and statistics to assess the robustness/significance of the analysis. The usefulness of the RGCCA package is illustrated in this paper on two real datasets. The RGCCA package is freely available on the ComprehensiveR Archive Network (CRAN) http://www.r-project.org/ and GitHub https://github.com/rgcca-factory/RGCCA