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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 1452 main
conda 103.1 kB | noarch/r-bigstep-1.0.3-r42hc72bb7e_2.tar.bz2  2 years and 5 months ago 1475 main
conda 102.5 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_1.tar.bz2  3 years and 10 months ago 2103 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r40hc72bb7e_1.tar.bz2  3 years and 10 months ago 2102 main
conda 101.8 kB | noarch/r-bigstep-1.0.3-r40h6115d3f_1.tar.bz2  4 years and 11 months ago 2917 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_1.tar.bz2  4 years and 11 months ago 2959 main
conda 101.3 kB | noarch/r-bigstep-1.0.3-r35h6115d3f_0.tar.bz2  5 years and 7 months ago 3666 main cf202003
conda 102.0 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_0.tar.bz2  5 years and 7 months ago 3738 main cf202003

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