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Efficient algorithms for fitting the regularization path of linear regression, GLM, and Cox regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bi-level selection methods such as the group exponential lasso, the composite MCP, and the group bridge.

copied from cf-staging / r-grpreg
Type Size Name Uploaded Downloads Labels
conda 369.0 kB | win-64/r-grpreg-3.2.2-r40hda5aaf8_1.tar.bz2  4 years and 8 months ago 1030 main
conda 364.0 kB | osx-64/r-grpreg-3.2.2-r36h17f1fa6_1.tar.bz2  4 years and 8 months ago 325 main
conda 370.3 kB | win-64/r-grpreg-3.2.2-r36hda5aaf8_1.tar.bz2  4 years and 8 months ago 1008 main
conda 363.1 kB | osx-64/r-grpreg-3.2.2-r40h17f1fa6_1.tar.bz2  4 years and 8 months ago 325 main
conda 357.5 kB | linux-64/r-grpreg-3.2.2-r36hcdcec82_1.tar.bz2  4 years and 8 months ago 2977 main
conda 356.6 kB | linux-64/r-grpreg-3.2.2-r40hcdcec82_1.tar.bz2  4 years and 8 months ago 2943 main
conda 368.0 kB | win-64/r-grpreg-3.2.2-r35hda5aaf8_0.tar.bz2  4 years and 11 months ago 1012 main cf202003
conda 370.4 kB | win-64/r-grpreg-3.2.2-r36hda5aaf8_0.tar.bz2  4 years and 11 months ago 1052 main cf202003
conda 362.0 kB | osx-64/r-grpreg-3.2.2-r35h17f1fa6_0.tar.bz2  4 years and 11 months ago 325 main cf202003
conda 364.2 kB | osx-64/r-grpreg-3.2.2-r36h17f1fa6_0.tar.bz2  4 years and 11 months ago 329 main cf202003
conda 355.7 kB | linux-64/r-grpreg-3.2.2-r35hcdcec82_0.tar.bz2  4 years and 11 months ago 3062 main cf202003
conda 357.4 kB | linux-64/r-grpreg-3.2.2-r36hcdcec82_0.tar.bz2  4 years and 11 months ago 3095 main cf202003

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