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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 1446 main
conda 103.1 kB | noarch/r-bigstep-1.0.3-r42hc72bb7e_2.tar.bz2  2 years and 5 months ago 1470 main
conda 102.5 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_1.tar.bz2  3 years and 10 months ago 2097 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r40hc72bb7e_1.tar.bz2  3 years and 10 months ago 2096 main
conda 101.8 kB | noarch/r-bigstep-1.0.3-r40h6115d3f_1.tar.bz2  4 years and 10 months ago 2912 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_1.tar.bz2  4 years and 10 months ago 2952 main
conda 101.3 kB | noarch/r-bigstep-1.0.3-r35h6115d3f_0.tar.bz2  5 years and 7 months ago 3660 main cf202003
conda 102.0 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_0.tar.bz2  5 years and 7 months ago 3732 main cf202003

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