RGCCA: Regularized and Sparse Generalized Canonical Correlation
Analysis for Multi-Block Data
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.
| Version: |
2.1 |
| Imports: |
MASS, methods |
| Published: |
2017-01-22 |
| Author: |
Arthur Tenenhaus and Vincent Guillemot |
| Maintainer: |
Arthur Tenenhaus <arthur.tenenhaus at centralesupelec.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
RGCCA results |
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