Package: penalized
Version: 0.9-51
Date: 2018-07-12
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: ORPHANED
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: 2018-07-12 14:20:07 UTC
Packaged: 2018-07-12 12:01:12 UTC; Jelle
X-CRAN-Original-Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:19:13 UTC; windows
Archs: i386, x64
