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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 975.0 kB | win-64/r-biglasso-1.5.0-r40ha856d6a_0.tar.bz2  3 years and 7 months ago 703 main
conda 952.5 kB | win-64/r-biglasso-1.5.0-r41ha856d6a_0.tar.bz2  3 years and 7 months ago 695 main
conda 971.3 kB | osx-64/r-biglasso-1.5.0-r40hff6cd7b_0.tar.bz2  3 years and 7 months ago 77 main
conda 976.7 kB | osx-64/r-biglasso-1.5.0-r41hff6cd7b_0.tar.bz2  3 years and 7 months ago 79 main
conda 979.4 kB | linux-64/r-biglasso-1.5.0-r40h03ef668_0.tar.bz2  3 years and 7 months ago 2580 main
conda 990.1 kB | linux-64/r-biglasso-1.5.0-r41h03ef668_0.tar.bz2  3 years and 7 months ago 2538 main

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