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conda-forge / packages / r-grpreg

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

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Type Size Name Uploaded Downloads Labels
conda 363.5 kB | win-64/r-grpreg-3.3.1-r41h6d2157b_0.tar.bz2  3 years and 9 months ago 797 main
conda 373.3 kB | osx-64/r-grpreg-3.3.1-r41h28b5c78_0.tar.bz2  3 years and 9 months ago 135 main
conda 369.1 kB | linux-64/r-grpreg-3.3.1-r41hcfec24a_0.tar.bz2  3 years and 9 months ago 2383 main
conda 380.5 kB | win-64/r-grpreg-3.3.1-r36h6d2157b_0.tar.bz2  3 years and 11 months ago 882 main
conda 379.4 kB | win-64/r-grpreg-3.3.1-r40h6d2157b_0.tar.bz2  3 years and 11 months ago 839 main
conda 372.6 kB | osx-64/r-grpreg-3.3.1-r40h28b5c78_0.tar.bz2  3 years and 11 months ago 228 main
conda 373.5 kB | osx-64/r-grpreg-3.3.1-r36h28b5c78_0.tar.bz2  3 years and 11 months ago 184 main
conda 369.5 kB | linux-64/r-grpreg-3.3.1-r40hcfec24a_0.tar.bz2  3 years and 11 months ago 2457 main
conda 370.3 kB | linux-64/r-grpreg-3.3.1-r36hcfec24a_0.tar.bz2  3 years and 11 months ago 2574 main
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