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.
[email protected]_50 low health (49/100) — consider alternatives
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-penalizedFirst published · 2021-05-24 05:42:06.697000+00:00
Last updated · 2025-10-02 21:02:23.846000+00:00