Use RcppEigen to fit least trimmed squares regression models with an L1 penalty in order to obtain sparse models.
Version: 0.2.0.1 Depends: robustHD (≥ 0.4.0) Imports: Rcpp (≥ 0.9.10), RcppEigen (≥ 0.2.0) LinkingTo: Rcpp, RcppEigen Suggests: mvtnorm Published: 2020-10-14 DOI: 10.32614/CRAN.package.sparseLTSEigen Author: Andreas Alfons [aut, cre] Maintainer: Andreas Alfons <alfons at ese.eur.nl> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: NEWS CRAN checks: sparseLTSEigen results Documentation: Reference manual: sparseLTSEigen.pdf Downloads: Package source: sparseLTSEigen_0.2.0.1.tar.gz Windows binaries: r-devel: sparseLTSEigen_0.2.0.1.zip, r-release: sparseLTSEigen_0.2.0.1.zip, r-oldrel: sparseLTSEigen_0.2.0.1.zip macOS binaries: r-release (arm64): sparseLTSEigen_0.2.0.1.tgz, r-oldrel (arm64): sparseLTSEigen_0.2.0.1.tgz, r-release (x86_64): sparseLTSEigen_0.2.0.1.tgz, r-oldrel (x86_64): sparseLTSEigen_0.2.0.1.tgz Old sources: sparseLTSEigen archive Linking:Please use the canonical form https://CRAN.R-project.org/package=sparseLTSEigen to link to this page.
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