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r / packages / r-smma

Efficient design matrix free procedure for solving a soft maximin problem for large scale array-tensor structured models, see Lund, Mogensen and Hansen (2019) <arXiv:1805.02407>. Currently Lasso and SCAD penalized estimation is implemented.

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Type Size Name Uploaded Downloads Labels
conda 139.0 kB | linux-64/r-smma-1.0.3-r43h884c59f_0.tar.bz2  1 year and 2 months ago 23 main
conda 139.8 kB | linux-64/r-smma-1.0.3-r42h884c59f_0.tar.bz2  2 years and 9 months ago 53 main
conda 133.7 kB | win-64/r-smma-1.0.2-r36h796a38f_0.tar.bz2  5 years and 24 days ago 82 main
conda 134.9 kB | osx-64/r-smma-1.0.2-r36h466af19_0.tar.bz2  5 years and 24 days ago 16 main
conda 133.8 kB | linux-64/r-smma-1.0.2-r36h29659fb_0.tar.bz2  5 years and 24 days ago 56 main
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