Source: r-cran-glmnet
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Daniel Pocock <daniel@pocock.pro>
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Priority: optional
Build-Depends: debhelper (>= 11~),
               r-base-dev (>= 3.0.0),
               dh-r,
               r-cran-matrix,
               r-cran-foreach
Standards-Version: 4.2.1
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-glmnet
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-glmnet.git
Homepage: https://cran.r-project.org/package=glmnet

Package: r-cran-glmnet
Architecture: any
Depends: ${shlibs:Depends},
         ${misc:Depends},
         ${R:Depends},
         libjs-mathjax
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: 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.