| Name : R-RGCCA
| |
| Version : 3.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.4.1
| Date : 2024-07-04 12:39:59
|
| Group : Development/Libraries/Other
| Source RPM : R-RGCCA-3.0.3-lp156.4.1.src.rpm
|
| Size : 0.68 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
|
Description :
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: to study the relationships between
blocks and to identify subsets of variables of each block which are
active in their relationships with the other blocks. This package
allows to (i) run R/SGCCA and related methods, (ii) help the user to
find out the optimal parameters for R/SGCCA such as regularization
parameters (tau or sparsity), (iii) evaluate the stability of the RGCCA
results and their significance, (iv) build predictive models from the
R/SGCCA. (v) Generic print() and plot() functions apply to all these
functionalities.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
