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Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity.

copied from cf-post-staging / r-bigstep
Type Size Name Uploaded Downloads Labels
conda 103.0 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_2.tar.bz2  3 years and 5 months ago 2077 main
conda 103.1 kB | noarch/r-bigstep-1.0.3-r42hc72bb7e_2.tar.bz2  3 years and 5 months ago 2138 main
conda 102.5 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_1.tar.bz2  4 years and 10 months ago 2721 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r40hc72bb7e_1.tar.bz2  4 years and 10 months ago 2716 main
conda 101.8 kB | noarch/r-bigstep-1.0.3-r40h6115d3f_1.tar.bz2  5 years and 11 months ago 3531 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_1.tar.bz2  5 years and 11 months ago 3577 main
conda 101.3 kB | noarch/r-bigstep-1.0.3-r35h6115d3f_0.tar.bz2  6 years and 7 months ago 4310 main cf202003
conda 102.0 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_0.tar.bz2  6 years and 7 months ago 4364 main cf202003

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