FileSize | 1771080 |
MD5 | C660FC0A571F7EB1DCEE6E59A0DA8E84 |
PackageDescription | Lasso and Elastic-Net Regularized Generalized Linear Models
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 multiple-response Gaussian, and the grouped multinomial.
The algorithm uses cyclical coordinate descent in a path-wise fashion, as
described in the paper Introduction to Glmnet. |
PackageMaintainer | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 4.1-2 |
SHA-1 | 3789845F0DFF284065234D1A236D9697FC997A8E |
SHA-256 | 871934825BA7C6033904FA8633E793B46AE5BD564A2922708DC1117A5854DAE1 |