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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 139.9 kB | win-64/r-l0ara-0.1.5-r36h796a38f_0.tar.bz2  4 years and 10 months ago 84 main
conda 140.1 kB | osx-64/r-l0ara-0.1.5-r36h466af19_0.tar.bz2  4 years and 10 months ago 26 main
conda 136.6 kB | linux-64/r-l0ara-0.1.5-r36h29659fb_0.tar.bz2  4 years and 10 months ago 83 main

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