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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 2 months ago 1916 main
conda 103.1 kB | noarch/r-bigstep-1.0.3-r42hc72bb7e_2.tar.bz2  3 years and 2 months ago 1966 main
conda 102.5 kB | noarch/r-bigstep-1.0.3-r41hc72bb7e_1.tar.bz2  4 years and 7 months ago 2562 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r40hc72bb7e_1.tar.bz2  4 years and 7 months ago 2547 main
conda 101.8 kB | noarch/r-bigstep-1.0.3-r40h6115d3f_1.tar.bz2  5 years and 7 months ago 3363 main
conda 102.2 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_1.tar.bz2  5 years and 7 months ago 3418 main
conda 101.3 kB | noarch/r-bigstep-1.0.3-r35h6115d3f_0.tar.bz2  6 years and 3 months ago 4142 main cf202003
conda 102.0 kB | noarch/r-bigstep-1.0.3-r36h6115d3f_0.tar.bz2  6 years and 3 months ago 4204 main cf202003

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