| Name : R-VBsparsePCA
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.12
| Date : 2024-06-14 11:17:50
|
| Group : Development/Libraries/Other
| Source RPM : R-VBsparsePCA-0.1.0-lp153.1.12.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : The Variational Bayesian Method for Sparse PCA
|
Description :
Contains functions for a variational Bayesian method for sparse PCA
proposed by Ning (2020) < arXiv:2102.00305>. There are two algorithms:
the PX-CAVI algorithm (if assuming the loadings matrix is jointly
row-sparse) and the batch PX-CAVI algorithm (if without this
assumption). The outputs of the main function, VBsparsePCA(), include
the mean and covariance of the loadings matrix, the score functions,
the variable selection results, and the estimated variance of the
random noise.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
