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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 101.9 kB | noarch/r-bigstep-1.0.2-r36h6115d3f_1.tar.bz2  6 years and 8 months ago 4409 main cf202003
conda 101.1 kB | noarch/r-bigstep-1.0.2-r35h6115d3f_1.tar.bz2  6 years and 8 months ago 4377 main cf202003
conda 100.8 kB | noarch/r-bigstep-1.0.2-r35h6115d3f_0.tar.bz2  6 years and 8 months ago 4443 main cf202003
conda 101.8 kB | noarch/r-bigstep-1.0.2-r36h6115d3f_0.tar.bz2  6 years and 8 months ago 4384 main cf202003

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