| Name : R-glmnet
| |
| Version : 4.1.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.1.4
| Date : 2024-09-10 04:19:20
|
| Group : Development/Libraries/Other
| Source RPM : R-glmnet-4.1.8-lp155.1.4.src.rpm
|
| Size : 2.47 MB
| |
| Packager : https://www_suse_com/
| |
| 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, Cox model,
multiple-response Gaussian, and the grouped multinomial regression; see
< doi:10.18637/jss.v033.i01> and < doi:10.18637/jss.v039.i05>. There are
two new and important additions. The family argument can be a GLM
family object, which opens the door to any programmed family
(< doi:10.18637/jss.v106.i01>). This comes with a modest computational
cost, so when the built-in families suffice, they should be used
instead. The other novelty is the relax option, which refits each of
the active sets in the path unpenalized. The algorithm uses cyclical
coordinate descent in a path-wise fashion, as described in the papers
cited.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
