Package: penalized
Version: 0.9-52
Date: 2022-04-23
Title: L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
        in GLMs and in the Cox Model
Author: Jelle Goeman, Rosa Meijer, Nimisha Chaturvedi, Matthew Lueder
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
LazyLoad: yes
Repository: CRAN
Date/Publication: 2022-04-23 14:10:02 UTC
Packaged: 2022-04-23 13:13:33 UTC; jelle
RoxygenNote: 7.1.1
Built: R 4.4.0; x86_64-apple-darwin22.6.0; 2024-05-11 18:41:11 UTC; unix
