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) ; D. Kraus, V. M. Panaretos (2012) ; H. Cardot, A. Godichon-Baggioni (2015) ; A. Godichon-Baggioni, S. Robin (2024) .


Reference manual

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install.packages("STARRS")

1.0 by Daphné Giorgi, 3 months ago


Browse source code at https://github.com/cran/STARRS


Authors: Antoine Godichon-Baggioni [aut, cph] , Stéphane Robin [aut] , Daphné Giorgi [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, foreach, mvtnorm, mclust, LaplacesDemon, genieclust, robustbase, RSpectra, ggplot2, reshape2, DescTools, checkmate, doFuture, future, parallel, capushe, bookdown, knitr

Suggests rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN