| Name : R-sprm
| |
| Version : 1.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.9.11
| Date : 2024-06-14 11:57:09
|
| Group : Development/Libraries/Other
| Source RPM : R-sprm-1.2.2-lp153.9.11.src.rpm
|
| Size : 0.30 MB
| |
| Packager : (none)
| |
| Summary : Sparse and Non-Sparse Partial Robust M Regression and Classification
|
Description :
Robust dimension reduction methods for regression and discriminant
analysis are implemented that yield estimates with a partial least
squares alike interpretability. Partial robust M regression (PRM) is
robust to both vertical outliers and leverage points. Sparse partial
robust M regression (SPRM) is a related robust method with sparse
coefficient estimate, and therefore with intrinsic variable selection.
For binary classification related discriminant methods are PRM-DA and
SPRM-DA.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
