| Name : R-WLasso
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.9.8
| Date : 2024-06-14 11:51:48
|
| Group : Development/Libraries/Other
| Source RPM : R-WLasso-1.0-lp153.9.8.src.rpm
|
| Size : 0.15 MB
| |
| Packager : (none)
| |
| Summary : Variable Selection for Highly Correlated Predictors
|
Description :
It proposes a novel variable selection approach taking into account the
correlations that may exist between the predictors of the design matrix
in a high-dimensional linear model. Our approach consists in rewriting
the initial high-dimensional linear model to remove the correlation
between the predictors and in applying the generalized Lasso criterion.
For further details we refer the reader to the paper < arXiv:2007.10768>
(Zhu et al., 2020).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
