| Name : R-EESPCA
| |
| Version : 0.7.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.9
| Date : 2024-06-14 11:24:21
|
| Group : Development/Libraries/Other
| Source RPM : R-EESPCA-0.7.0-lp153.1.9.src.rpm
|
| Size : 0.22 MB
| |
| Packager : (none)
| |
| Summary : Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)
|
Description :
Contains logic for computing sparse principal components via the EESPCA
method, which is based on an approximation of the
eigenvector/eigenvalue identity. Includes logic to support execution of
the TPower and rifle sparse PCA methods, as well as logic to estimate
the sparsity parameters used by EESPCA, TPower and rifle via
cross-validation to minimize the out-of-sample reconstruction error. H.
Robert Frost (2021) < doi:10.1080/10618600.2021.1987254>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
