| Name : R-whitening
| |
| Version : 1.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.23
| Date : 2024-08-05 21:04:31
|
| Group : Development/Libraries/Other
| Source RPM : R-whitening-1.4.0-1.23.src.rpm
|
| Size : 0.51 MB
| |
| Packager : (none)
| |
| Summary : Whitening and High-Dimensional Canonical Correlation Analysis
|
Description :
Implements the whitening methods (ZCA, PCA, Cholesky, ZCA-cor, and
PCA-cor) discussed in Kessy, Lewin, and Strimmer (2018) \"Optimal
whitening and decorrelation\", < doi:10.1080/00031305.2016.1277159>, as
well as the whitening approach to canonical correlation analysis
allowing negative canonical correlations described in Jendoubi and
Strimmer (2019) \"A whitening approach to probabilistic canonical
correlation analysis for omics data integration\",
< doi:10.1186/s12859-018-2572-9>. The package also offers functions to
simulate random orthogonal matrices, compute (correlation) loadings and
explained variation. It also contains four example data sets (extended
UCI wine data, TCGA LUSC data, nutrimouse data, extended pitprops
data).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
