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
Repository: CRAN
Date/Publication: 2025-10-02 14:00:02 UTC
Packaged: 2025-10-02 13:04:12 UTC; jjgoeman
RoxygenNote: 7.1.1
Author: Jelle Goeman [aut, cre],
  Rosa Meijer [aut],
  Nimisha Chaturvedi [aut],
  Matthew Lueder [aut]
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-13 02:28:17 UTC; windows
Archs: x64
