FileSize | 1829724 |
MD5 | 6C6F64DD34E1F17F3488F2A3A8189436 |
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 | 4.1-2-1 |
SHA-1 | B64CAC41CF22E41E7AA951BB319333CE2950781B |
SHA-256 | A6831016F41F43EA641B73696A36E7808792F710E018279ACF0D4EBE6DAC1477 |