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STARRS  

Stochastic Robust Multivariate Statistics
View on CRAN: Click here


Download and install STARRS package within the R console
Install from CRAN:
install.packages("STARRS")

Install from Github:
library("remotes")
install_github("cran/STARRS")

Install by package version:
library("remotes")
install_version("STARRS", "1.0")



Attach the package and use:
library("STARRS")
Maintained by
Daphné Giorgi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-29
Latest Update: 2026-07-29
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) <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>.
How to cite:
Daphné Giorgi (2026). STARRS: Stochastic Robust Multivariate Statistics. R package version 1.0, https://cran.r-project.org/web/packages/STARRS. Accessed 16 Oct. 2026.
Previous versions and publish date:
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View STARRS citation profile
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Complete documentation for STARRS
Functions, R codes and Examples using the STARRS R package
Full STARRS package functions and examples
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