Basic Robust Statistics R package robustbase version 0.99-7 CRAN Task View: Robust (https://CRAN.R-project.org/view=Robust) "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006. Software Depends: R (>= 3.5.0) Imports: stats, graphics, utils, methods, DEoptimR Suggests: grid, MASS, lattice, boot, cluster, Matrix, robust, fit.models, MPV, xtable, ggplot2, GGally, RColorBrewer, reshape2, sfsmisc, catdata, doParallel, foreach, skewt Enhances: robustX, rrcov, matrixStats, quantreg, Hmisc Martin Maechler <maechler@stat.math.ethz.ch> Comprehensive R Archive Network (CRAN) Martin Maechler [aut, cre] (ORCID: <https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [ctb] (Qn and Sn), Christophe Croux [ctb] (Qn and Sn), Valentin Todorov [aut] (most robust Cov), Andreas Ruckstuhl [aut] (nlrob, anova, glmrob), Matias Salibian-Barrera [aut] (lmrob orig.), Tobias Verbeke [ctb, fnd] (mc, adjbox), Manuel Koller [aut] (mc, lmrob, psi-func.), Eduardo L. T. Conceicao [aut] (MM-, tau-, CM-, and MTL- nlrob), Maria Anna di Palma [ctb] (initial version of Comedian) GPL (>= 2) 2026-02-05 application/tgz https://CRAN.R-project.org/package=robustbase doi:10.32614/CRAN.package.robustbase