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r / packages / r-penalized

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.

Type Size Name Uploaded Downloads Labels
conda 927.8 kB | linux-64/r-penalized-0.9_52-r43h884c59f_0.tar.bz2  1 year and 1 month ago 72 main
conda 935.8 kB | linux-64/r-penalized-0.9_52-r42h884c59f_0.tar.bz2  2 years and 7 months ago 58 main
conda 883.2 kB | win-64/r-penalized-0.9_51-r36h796a38f_0.tar.bz2  4 years and 11 months ago 84 main
conda 895.3 kB | osx-64/r-penalized-0.9_51-r36h466af19_0.tar.bz2  4 years and 11 months ago 15 main
conda 879.3 kB | linux-64/r-penalized-0.9_51-r36h29659fb_0.tar.bz2  4 years and 11 months ago 62 main

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