FileSize | 1409784 |
MD5 | B33099BD5EC8800B726C2DBADA198152 |
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 | E65C4E0394794E44D52E8BD6CE0CFB1648B7B577 |
SHA-256 | 7BB692F50319B507A3F33C72AF0B99BD5E7AF65EE2304A864FB888028D9DDCDF |