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.
| Version: |
2.0 |
| Depends: |
MASS |
| Published: |
2013-07-24 |
| Author: |
Arthur Tenenhaus and Vincent Guillemot |
| Maintainer: |
Arthur Tenenhaus <arthur.tenenhaus at supelec.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
RGCCA results |
Downloads:
Reverse dependencies: