The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

STARRS: Stochastic Robust Multivariate Statistics

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) <doi:10.1214/aoms/1177729586>; D. Kraus, V. M. Panaretos (2012) <doi:10.1093/biomet/ass037>; H. Cardot, A. Godichon-Baggioni (2015) <doi:10.48550/arXiv.1504.02852>; A. Godichon-Baggioni, S. Robin (2024) <doi:10.1007/s11222-023-10362-9>.

Version: 1.0
Depends: R (≥ 3.5.0)
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
Suggests: rmarkdown
Published: 2026-07-29
DOI: 10.32614/CRAN.package.STARRS
Author: Antoine Godichon-Baggioni [aut, cph], Stéphane Robin [aut], Daphné Giorgi [aut, cre]
Maintainer: Daphné Giorgi <daphne.giorgi at sorbonne-universite.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: STARRS results

Documentation:

Reference manual: STARRS.html , STARRS.pdf
Vignettes: Clustering with STARRS (source, R code)
A brief introduction to STARRS (source, R code)
Median and median covariance matrix estimation with STARRS (source, R code)
Regression techniques with STARRS (source, R code)
Robust estimation of the variance with STARRS (source, R code)

Downloads:

Package source: STARRS_1.0.tar.gz
Windows binaries: r-devel: STARRS_1.0.zip, r-release: STARRS_1.0.zip, r-oldrel: STARRS_1.0.zip
macOS binaries: r-release (arm64): STARRS_1.0.tgz, r-oldrel (arm64): STARRS_1.0.tgz, r-release (x86_64): STARRS_1.0.tgz, r-oldrel (x86_64): STARRS_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=STARRS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.