Efficient procedure for solving the soft maximin problem for large scale heterogeneous data, see Lund, Mogensen and Hansen (2022) <doi:10.1111/sjos.12580>. Currently Lasso and SCAD penalized estimation is implemented. Note this package subsumes and replaces the SMMA package.
Version: 1.1.1 Imports: Rcpp (≥ 0.12.12) LinkingTo: Rcpp, RcppArmadillo Published: 2023-01-08 DOI: 10.32614/CRAN.package.SMME Author: Adam Lund [aut, cre] Maintainer: Adam Lund <adam.lund at math.ku.dk> License: MIT + file LICENSE NeedsCompilation: yes CRAN checks: SMME results Documentation: Reference manual: SMME.pdf Downloads: Package source: SMME_1.1.1.tar.gz Windows binaries: r-devel: SMME_1.1.1.zip, r-release: SMME_1.1.1.zip, r-oldrel: SMME_1.1.1.zip macOS binaries: r-release (arm64): SMME_1.1.1.tgz, r-oldrel (arm64): SMME_1.1.1.tgz, r-release (x86_64): SMME_1.1.1.tgz, r-oldrel (x86_64): SMME_1.1.1.tgz Old sources: SMME archive Linking:Please use the canonical form https://CRAN.R-project.org/package=SMME to link to this page.
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