Package: penalized
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
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>
Depends: R (>= 2.10.0), survival, methods
Imports:
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)
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: no
providing 
.