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fsdaR  

Robust Data Analysis Through Monitoring and Dynamic Visualization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fsdaR", "0.9-1")



Attach the package and use:
library("fsdaR")
Maintained by
Valentin Todorov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-12
Latest Update: 2023-12-06
Description:
Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is 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 a 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.
How to cite:
Valentin Todorov (2017). fsdaR: Robust Data Analysis Through Monitoring and Dynamic Visualization. R package version 0.9-1, https://cran.r-project.org/web/packages/fsdaR. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 0.2-21 (2017-12-12 15:30), 0.4-4 (2018-12-06 00:10), 0.4-6 (2019-03-14 06:30), 0.4-8 (2020-01-13 06:40), 0.4-9 (2020-01-14 17:40), 0.6-5 (2021-11-28 16:20), 0.7-0 (2022-05-12 00:00), 0.8-0 (2022-08-12 01:20), 0.8-1 (2023-03-09 22:00), 0.9-0 (2023-12-06 04:40)
Other packages that cited fsdaR R package
View fsdaR citation profile
Other R packages that fsdaR depends, imports, suggests or enhances
Complete documentation for fsdaR
Functions, R codes and Examples using the fsdaR R package
Some associated functions: FSR_control . FSReda_control . Income1 . Income2 . LXS_control . M5data . MMreg_control . MMregeda_control . Sreg_control . Sregeda_control . X . bank_data . carbikeplot . corfwdplot . covplot . diabetes . emilia2001 . fishery . flea . forbes . fsdalmsject . fsdaltsject . fsmedaject . fsmmmdrs . fsmmmdrsject . fsmult . fsmultject . fsrject . fsrbase . fsredaject . fsreg . fsrfan . fsrfanject . geyser2 . hawkins . hospital . levfwdplot . loyalty . malfwdplot . malindexplot . mdrplot . mmdplot . mmdrsplot . mmmult . mmmultject . mmmultedaject . mmregject . mmregedaject . multiple_regression . mussels . myrng . poison . psifun . regspmplot . resfwdplot . resindexplot . score . scoreject . smult . smultject . smultedaject . spmplot . sregject . sregedaject . summary.fsr . summary.lms . summary.lts . swissbanknotes . swissheads . tclustIC . tclustICplot . tclustICsol . tclustedaject . tclustfsda . tclustfsdaject . tclusticject . tclusticsolject . tclustreg . tclustregject . tclustregIC . wool . z1 . 
Some associated R codes: FSR_control.R . Sreg_control.R . carbikeplot.R . corfwdplot.R . covplot.R . datadoc.R . fanplot.R . fsmmmdrs.R . fsmult-methods.R . fsmult.R . fsrbase.R . fsreg-methods.R . fsreg.R . fsrfan.R . getos.R . internal.R . levfwdplot.R . malfwdplot.R . malindexplot.R . mdrplot.R . mmdplot.R . mmdrsplot.R . mmmult.R . myrng.R . onLoad.R . psifun.R . regspmplot.R . resfwdplot.R . resindexplot.R . s3objectsdoc.R . saveas.R . score.R . smult.R . spmplot.R . tclust-methods.R . tclust.R . tclustIC.R . tclustICplot.R . tclustICsol.R . tclustreg.R . tclustregIC.R . zzz.R .  Full fsdaR package functions and examples
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