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 Documentation: Reference manual: SMMA.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=SMMA to link to this page.
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