R package RGCCA: RGCCA and Sparse GCCA for multi-block data analysis. 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: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Tenenhaus, Michel; Tenenhaus, Arthur; Groenen, Patrick J.F.: Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods (2017)
- Tenenhaus, Arthur; Tenenhaus, Michel: Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis (2014)