FileSize | 1411792 |
MD5 | ACAB6518E7F5A0EB744528F201D21EB3 |
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 | 2.0-16-2 |
SHA-1 | C70471ACCF3F0A80E8C4C81303F38019BA862F55 |
SHA-256 | 112E2BCF5AF6938F32D7EC4191094E3F4D3F338A7BAEA4FF9F687172C6D6BEE9 |