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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 10 months ago 1034 main
conda 364.0 kB | osx-64/r-grpreg-3.2.2-r36h17f1fa6_1.tar.bz2  4 years and 10 months ago 325 main
conda 370.3 kB | win-64/r-grpreg-3.2.2-r36hda5aaf8_1.tar.bz2  4 years and 10 months ago 1012 main
conda 363.1 kB | osx-64/r-grpreg-3.2.2-r40h17f1fa6_1.tar.bz2  4 years and 10 months ago 325 main
conda 357.5 kB | linux-64/r-grpreg-3.2.2-r36hcdcec82_1.tar.bz2  4 years and 10 months ago 3108 main
conda 356.6 kB | linux-64/r-grpreg-3.2.2-r40hcdcec82_1.tar.bz2  4 years and 10 months ago 3073 main
conda 368.0 kB | win-64/r-grpreg-3.2.2-r35hda5aaf8_0.tar.bz2  5 years and 1 month ago 1016 main cf202003
conda 370.4 kB | win-64/r-grpreg-3.2.2-r36hda5aaf8_0.tar.bz2  5 years and 1 month ago 1056 main cf202003
conda 362.0 kB | osx-64/r-grpreg-3.2.2-r35h17f1fa6_0.tar.bz2  5 years and 1 month ago 326 main cf202003
conda 364.2 kB | osx-64/r-grpreg-3.2.2-r36h17f1fa6_0.tar.bz2  5 years and 1 month ago 330 main cf202003
conda 355.7 kB | linux-64/r-grpreg-3.2.2-r35hcdcec82_0.tar.bz2  5 years and 1 month ago 3196 main cf202003
conda 357.4 kB | linux-64/r-grpreg-3.2.2-r36hcdcec82_0.tar.bz2  5 years and 1 month ago 3245 main cf202003

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