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An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.

Type Size Name Uploaded Downloads Labels
conda 131.6 kB | linux-64/r-l0ara-0.1.6-r43h884c59f_0.tar.bz2  1 year and 8 months ago 37 main
conda 133.1 kB | linux-64/r-l0ara-0.1.6-r42h884c59f_0.tar.bz2  3 years and 3 months ago 68 main
conda 139.9 kB | win-64/r-l0ara-0.1.5-r36h796a38f_0.tar.bz2  5 years and 5 months ago 93 main
conda 140.1 kB | osx-64/r-l0ara-0.1.5-r36h466af19_0.tar.bz2  5 years and 5 months ago 38 main
conda 136.6 kB | linux-64/r-l0ara-0.1.5-r36h29659fb_0.tar.bz2  5 years and 5 months ago 97 main

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