Package: penalized
Version: 0.9-53
Date: 2025-10-02
Title: L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
        in GLMs and in the Cox Model
Authors@R: c(person(given = "Jelle",
                      family = "Goeman",
                      role = c("aut", "cre"),
                      email = "j.j.goeman@lumc.nl"),
               person(given = "Rosa",
                      family = "Meijer",
                      role = "aut"),
               person(given = "Nimisha",
                      family = "Chaturvedi",
                      role = "aut"),
               person(given = "Matthew",
                      family = "Lueder",
                      role = "aut"))
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>
Depends: R (>= 2.10.0), survival, methods
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: globaltest
Description: Fitting possibly high dimensional penalized regression
        models. The penalty structure can be any combination of an L1
        penalty (lasso and fused lasso), an L2 penalty (ridge) and a
        positivity constraint on the regression coefficients. The
        supported regression models are linear, logistic and Poisson
        regression and the Cox Proportional Hazards model.
        Cross-validation routines allow optimization of the tuning
        parameters.
License: GPL (>= 2)
NeedsCompilation: yes
Collate: onattach.R penfit.R breslow.R penalized.R core.R checkinput.R
        cvl.R contrasts.R Brent.R plotpath.R cox.R logit.R linear.R
        poisson.R RcppExports.R
LazyLoad: yes
Packaged: 2026-06-20 09:15:32 UTC; root
RoxygenNote: 7.1.1
Author: Jelle Goeman [aut, cre], Rosa Meijer [aut], Nimisha Chaturvedi
        [aut], Matthew Lueder [aut]
Repository: https://jellegoeman.r-universe.dev
Date/Publication: 2025-10-02 14:36:52 UTC
RemoteUrl: https://github.com/cran/penalized
RemoteRef: HEAD
RemoteSha: 2bd3dc37a91e2dc9d5bb9d93a395c508737de460