| Name : R-rsvddpd
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.2.6
| Date : 2024-09-12 10:59:31
|
| Group : Development/Libraries/Other
| Source RPM : R-rsvddpd-1.0.0-lp155.2.6.src.rpm
|
| Size : 0.27 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Robust Singular Value Decomposition using Density Power Divergence
|
Description :
Computing singular value decomposition with robustness is a challenging
task. This package provides an implementation of computing robust SVD
using density power divergence (< arXiv:2109.10680>). It combines the
idea of robustness and efficiency in estimation based on a tuning
parameter. It also provides utility functions to simulate various
scenarios to compare performances of different algorithms.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
