| Name : R-SiER
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:04:38
|
| Group : Development/Libraries/Other
| Source RPM : R-SiER-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Signal Extraction Approach for Sparse Multivariate Response Regression
|
Description :
Methods for regression with high-dimensional predictors and univariate
or maltivariate response variables. It considers the decomposition of
the coefficient matrix that leads to the best approximation to the
signal part in the response given any rank, and estimates the
decomposition by solving a penalized generalized eigenvalue problem
followed by a least squares procedure. Ruiyan Luo and Xin Qi (2017)
< doi:10.1016/j.jmva.2016.09.005>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
