penalized: L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model

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.

Package details

AuthorJelle Goeman, Rosa Meijer, Nimisha Chaturvedi, Matthew Lueder
MaintainerORPHANED
LicenseGPL (>= 2)
Version0.9-51
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("penalized")

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penalized documentation built on July 13, 2018, 1:03 a.m.