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.

Home https://cran.r-project.org/web/packages/penalized/index.html
Versions 0.9.47
License GPL-2
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-penalized


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-penalized

and update with:

conda update r-penalized


A Docker container is available at https://quay.io/repository/biocontainers/r-penalized.