Efficient design matrix free procedure for solving a soft maximin problem for large scale array-tensor structured models, see Lund, Mogensen and Hansen (2019) <doi:10.48550/arXiv.1805.02407>. Currently Lasso and SCAD penalized estimation is implemented.
| Version: | 1.0.3 |
| Imports: | Rcpp (≥ 0.12.12) |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2020-09-17 |
| DOI: | 10.32614/CRAN.package.SMMA |
| Author: | Adam Lund |
| Maintainer: | Adam Lund <adam.lund at math.ku.dk> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | SMMA results[issues need fixing before 2025-12-18] |
| Reference manual: | SMMA.html ,SMMA.pdf |
| Package source: | SMMA_1.0.3.tar.gz |
| Windows binaries: | r-devel:SMMA_1.0.3.zip, r-release:SMMA_1.0.3.zip, r-oldrel:SMMA_1.0.3.zip |
| macOS binaries: | r-release (arm64):SMMA_1.0.3.tgz, r-oldrel (arm64):SMMA_1.0.3.tgz, r-release (x86_64):SMMA_1.0.3.tgz, r-oldrel (x86_64):SMMA_1.0.3.tgz |
| Old sources: | SMMA archive |
Please use the canonical formhttps://CRAN.R-project.org/package=SMMAto link to this page.