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Extend lasso and elastic-net model fitting for ultrahigh-dimensional, multi-gigabyte data sets that cannot be loaded into memory. It's much more memory- and computation-efficient as compared to existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing for very powerful big data analysis even with an ordinary laptop.

copied from cf-post-staging / r-biglasso
Type Size Name Uploaded Downloads Labels
conda 891.7 kB | win-64/r-biglasso-1.3_7-r40h796a38f_0.tar.bz2  5 years and 2 months ago 1011 main
conda 888.0 kB | win-64/r-biglasso-1.3_7-r36h796a38f_0.tar.bz2  5 years and 2 months ago 1011 main
conda 872.2 kB | osx-64/r-biglasso-1.3_7-r36h710217c_0.tar.bz2  5 years and 2 months ago 324 main
conda 876.2 kB | osx-64/r-biglasso-1.3_7-r40h710217c_0.tar.bz2  5 years and 2 months ago 327 main
conda 901.6 kB | linux-64/r-biglasso-1.3_7-r40h0357c0b_0.tar.bz2  5 years and 2 months ago 3467 main
conda 904.1 kB | linux-64/r-biglasso-1.3_7-r36h0357c0b_0.tar.bz2  5 years and 2 months ago 3437 main

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