Package: STARRS Type: Package Title: Stochastic Robust Multivariate Statistics Version: 1.0 Date: 2026-06-26 Authors@R: c( person('Antoine','Godichon-Baggioni', role = c('aut', 'cph'), email = 'antoine.godichon_baggioni@upmc.fr'), person('Stéphane','Robin', role = 'aut'), person('Daphné', 'Giorgi', role = c('aut','cre'), email = 'daphne.giorgi@sorbonne-universite.fr') ) Description: Algorithms for robust multivariate statistics (STochAstic Robust multivaRiate Statistics) including geometric median and geometric median covariance computation, k-medians clustering and robust median Principal Compenents Analysis (PCA), robust estimation of parameters for Gaussian, Student, or Laplace mixture models. 'STARRS' provides an independent, clean, consolidated and cohesive framework, while drawing inspiration from the approaches implemented in packages 'Gmedian', 'Kmedians', 'RGMM', 'RobRegression'. Methods used in the package refer to H. Robbins, S. Monro (1951) ; D. Kraus, V. M. Panaretos (2012) ; H. Cardot, A. Godichon-Baggioni (2015) ; A. Godichon-Baggioni, S. Robin (2024) . License: GPL (>= 2) Imports: Rcpp (>= 1.0.13), foreach, mvtnorm, mclust, LaplacesDemon, genieclust, robustbase, RSpectra, ggplot2, reshape2, DescTools, checkmate, doFuture, future, parallel, capushe, bookdown, knitr LinkingTo: Rcpp, RcppArmadillo LazyData: true VignetteBuilder: knitr Encoding: UTF-8 Suggests: rmarkdown Config/roxygen2/version: 8.0.0 NeedsCompilation: yes Packaged: 2026-09-28 07:43:49 UTC; root Author: Antoine Godichon-Baggioni [aut, cph], Stéphane Robin [aut], Daphné Giorgi [aut, cre] Maintainer: Daphné Giorgi Depends: R (>= 3.5.0) Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev libx11-dev zlib1g-dev Repository: https://daphnegiorgi.r-universe.dev Date/Publication: 2026-07-29 17:00:19 UTC RemoteUrl: https://github.com/cran/STARRS RemoteRef: HEAD RemoteSha: 7a84a0bc8e118bbc283694b330b1804ca9d10df3