Source: r-cran-glmnet Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille Section: gnu-r Testsuite: autopkgtest-pkg-r Priority: optional Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-matrix, r-cran-foreach, r-cran-shape, r-cran-survival, r-cran-rcpp, r-cran-rcppeigen Standards-Version: 4.6.1 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 Rules-Requires-Root: no Package: r-cran-glmnet Architecture: any Depends: ${R:Depends}, ${shlibs:Depends}, ${misc: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.