r-smma
Efficient design matrix free procedure for solving a soft maximin problem for large scale array-tensor structured models. Currently Lasso and SCAD penalized estimation is implemented.
Efficient design matrix free procedure for solving a soft maximin problem for large scale array-tensor structured models. Currently Lasso and SCAD penalized estimation is implemented.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
win-64/r-smma-1.0.2-r36h796a38f_0.tar.bz2 | conda | 1.0.2 | win-64 | main | Dec 4, 2019, 03:55 PM | 133.74 KB | 0 | |
osx-64/r-smma-1.0.2-r36h466af19_0.tar.bz2 | conda | 1.0.2 | osx-64 | main | Dec 4, 2019, 03:50 PM | 134.92 KB | 1 | |
linux-64/r-smma-1.0.2-r36h29659fb_0.tar.bz2 | conda | 1.0.2 | linux-64 | main | Dec 4, 2019, 03:45 PM | 133.79 KB | 1 |