DESCRIPTION

Package: penalizedcpp
Version: 0.9-47
Date: 2016-05-26
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: 2016-05-27 18:08:55
Packaged: 2016-05-27 11:43:08 UTC; jjgoeman
NeedsCompilation: yes