Huber-type estimation for mean, covariance and (regularized) regression. For all the methods, the robustification parameter tau is chosen by a tuning-free principle.
Version: 1.1 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.3) LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.850.1.0) Published: 2022-03-09 DOI: 10.32614/CRAN.package.adaHuber Author: Xiaoou Pan [aut, cre], Wen-Xin Zhou [aut] Maintainer: Xiaoou Pan <xip024 at ucsd.edu> License: GPL-3 URL: https://github.com/XiaoouPan/adaHuber NeedsCompilation: yes SystemRequirements: C++11 Materials: README CRAN checks: adaHuber results Documentation: Reference manual: adaHuber.pdf Downloads: Package source: adaHuber_1.1.tar.gz Windows binaries: r-devel: adaHuber_1.1.zip, r-release: adaHuber_1.1.zip, r-oldrel: adaHuber_1.1.zip macOS binaries: r-release (arm64): adaHuber_1.1.tgz, r-oldrel (arm64): adaHuber_1.1.tgz, r-release (x86_64): adaHuber_1.1.tgz, r-oldrel (x86_64): adaHuber_1.1.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=adaHuber to link to this page.
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