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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 874.7 kB | win-64/r-biglasso-1.4.0-r36ha856d6a_0.tar.bz2  4 years and 8 months ago 938 main
conda 874.5 kB | win-64/r-biglasso-1.4.0-r40ha856d6a_0.tar.bz2  4 years and 8 months ago 933 main
conda 868.6 kB | osx-64/r-biglasso-1.4.0-r36h815b84a_0.tar.bz2  4 years and 8 months ago 248 main
conda 866.0 kB | osx-64/r-biglasso-1.4.0-r40h815b84a_0.tar.bz2  4 years and 8 months ago 268 main
conda 881.3 kB | linux-64/r-biglasso-1.4.0-r40h03ef668_0.tar.bz2  4 years and 8 months ago 3014 main
conda 881.6 kB | linux-64/r-biglasso-1.4.0-r36h03ef668_0.tar.bz2  4 years and 8 months ago 2994 main

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