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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  5 years and 3 months ago 1044 main
conda 364.0 kB | osx-64/r-grpreg-3.2.2-r36h17f1fa6_1.tar.bz2  5 years and 3 months ago 330 main
conda 370.3 kB | win-64/r-grpreg-3.2.2-r36hda5aaf8_1.tar.bz2  5 years and 3 months ago 1021 main
conda 363.1 kB | osx-64/r-grpreg-3.2.2-r40h17f1fa6_1.tar.bz2  5 years and 3 months ago 330 main
conda 357.5 kB | linux-64/r-grpreg-3.2.2-r36hcdcec82_1.tar.bz2  5 years and 3 months ago 3476 main
conda 356.6 kB | linux-64/r-grpreg-3.2.2-r40hcdcec82_1.tar.bz2  5 years and 3 months ago 3430 main
conda 368.0 kB | win-64/r-grpreg-3.2.2-r35hda5aaf8_0.tar.bz2  5 years and 6 months ago 1025 main cf202003
conda 370.4 kB | win-64/r-grpreg-3.2.2-r36hda5aaf8_0.tar.bz2  5 years and 6 months ago 1064 main cf202003
conda 362.0 kB | osx-64/r-grpreg-3.2.2-r35h17f1fa6_0.tar.bz2  5 years and 6 months ago 330 main cf202003
conda 364.2 kB | osx-64/r-grpreg-3.2.2-r36h17f1fa6_0.tar.bz2  5 years and 6 months ago 335 main cf202003
conda 355.7 kB | linux-64/r-grpreg-3.2.2-r35hcdcec82_0.tar.bz2  5 years and 6 months ago 3540 main cf202003
conda 357.4 kB | linux-64/r-grpreg-3.2.2-r36hcdcec82_0.tar.bz2  5 years and 6 months ago 3596 main cf202003

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