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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-staging / r-bigstep
Type Size Name Uploaded Downloads Labels
conda 103.0 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_2.tar.bz2  2 years and 5 months ago 1447 main
conda 103.1 kB | noarch/r-bigstep-1.0.3-r42hc72bb7e_2.tar.bz2  2 years and 5 months ago 1472 main
conda 102.5 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_1.tar.bz2  3 years and 10 months ago 2100 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r40hc72bb7e_1.tar.bz2  3 years and 10 months ago 2098 main
conda 101.8 kB | noarch/r-bigstep-1.0.3-r40h6115d3f_1.tar.bz2  4 years and 11 months ago 2914 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_1.tar.bz2  4 years and 11 months ago 2954 main
conda 101.3 kB | noarch/r-bigstep-1.0.3-r35h6115d3f_0.tar.bz2  5 years and 7 months ago 3662 main cf202003
conda 102.0 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_0.tar.bz2  5 years and 7 months ago 3734 main cf202003

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