fsdaR: 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.

Version: 0.4-9
Depends: R (≥ 3.5.0), rrcov
Imports: rJava, methods, stats4, ggplot2
Suggests: MASS
Published: 2020-01-14
Author: Valentin Todorov ORCID iD [aut, cre], Emmanuele Sordini [aut], Aldo Corbellini [ctb], Francesca Torti [ctb], Marco Riani [ctb], Domenico Perrotta [ctb], Andrea Cerioli [ctb]
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: (license-free) MATLAB Runtime (MCR) V 9.6, Java (>=8)
Materials: ChangeLog
CRAN checks: fsdaR results

Downloads:

Reference manual: fsdaR.pdf
Package source: fsdaR_0.4-9.tar.gz
Windows binaries: r-devel: fsdaR_0.4-9.zip, r-devel-gcc8: fsdaR_0.4-9.zip, r-release: fsdaR_0.4-9.zip, r-oldrel: fsdaR_0.4-9.zip
OS X binaries: r-release: fsdaR_0.4-9.tgz, r-oldrel: fsdaR_0.4-9.tgz
Old sources: fsdaR archive

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