| Name : R-glmnet
| |
| Version : 1.9_8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.634
| Date : 2019-07-28 23:14:11
|
| Group : Development/Libraries/Other
| Source RPM : R-glmnet-1.9_8-1.634.src.rpm
|
| Size : 0.62 MB
| |
| Packager : (none)
| |
| Summary : Lasso and elastic-net regularized generalized linear models
|
Description :
Extremely efficient procedures for fitting the entire lasso or elastic-net
regularization path for linear regression, logistic and multinomial
regression models, poisson regression and the Cox model. Two recent
additions are the multiresponse gaussian, and the grouped multinomial. The
algorithm uses cyclical coordinate descent in a pathwise fashion, as
described in the paper listed below.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/released/openSUSE_Tumbleweed/i586 |
