Robust Data Analysis Through Monitoring and Dynamic Visualization

Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is a comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)), for multivariate analysis (forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression. The distinctive feature of our package is the possibility of monitoring the statistics of interest as function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.


Reference manual

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0.4-9 by Valentin Todorov, a year ago

Browse source code at

Authors: Valentin Todorov [aut, cre] , Emmanuele Sordini [aut] , Aldo Corbellini [ctb] , Francesca Torti [ctb] , Marco Riani [ctb] , Domenico Perrotta [ctb] , Andrea Cerioli [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports rJava, methods, stats4, ggplot2

Depends on rrcov

Suggests MASS

System requirements: (license-free) MATLAB Runtime (MCR) V 9.6, Java (>=8)

See at CRAN