{ "_id": "6a1ee65cb401979e734114fc", "Package": "fsdaR", "Title": "Robust Data Analysis Through Monitoring and Dynamic\nVisualization", "Version": "0.9-1", "VersionNote": "Released 0.9-0 on 2023-12-06 on CRAN", "Authors@R": "c(person(\"Valentin\", \"Todorov\", role = c(\"aut\", \"cre\"), email = \"valentin.todorov@chello.at\", comment=c(ORCID = \"0000-0003-4215-0245\"))\n, person(\"Emmanuele\", \"Sordini\", role = \"aut\", email = \"Emmanuele.sordini@ec.europa.eu\")\n, person(\"Aldo\", \"Corbellini\", role = \"ctb\")\n, person(\"Francesca\", \"Torti\", role = \"ctb\")\n, person(\"Marco\", \"Riani\", role = \"ctb\")\n, person(\"Domenico\", \"Perrotta\", role = \"ctb\")\n, person(\"Andrea\", \"Cerioli\", role = \"ctb\")\n)", "Description": "Provides interface to the 'MATLAB' toolbox 'Flexible\nStatistical Data Analysis (FSDA)' which is comprehensive and\ncomputationally efficient software package for robust\nstatistics in regression, multivariate and categorical data\nanalysis. The current R version implements tools for\nregression: (forward search, S- and MM-estimation, least\ntrimmed squares (LTS) and least median of squares (LMS)), for\nmultivariate analysis (forward search, S- and MM-estimation),\nfor cluster analysis and cluster-wise regression. The\ndistinctive feature of our package is the possibility of\nmonitoring the statistics of interest as a function of\nbreakdown point, efficiency or subset size, depending on the\nestimator. This is accompanied by a rich set of graphical\nfeatures, such as dynamic brushing, linking, particularly\nuseful for exploratory data analysis.", "Encoding": "UTF-8", "SystemRequirements": "(license-free) MATLAB Runtime (MCR) V 9.12, Java\n(>=8)", "LazyLoad": "yes", "LazyData": "yes", "License": "GPL (>= 3)", "URL": "https://github.com/UniprJRC/fsdaR", "BugReports": "https://github.com/UniprJRC/fsdaR/issues", "Packaged": { "Date": "2026-05-20 00:09:13 UTC", "User": "root" }, "Author": "Valentin Todorov [aut, cre]\n(), Emmanuele Sordini\n[aut], Aldo Corbellini [ctb], Francesca Torti [ctb], Marco\nRiani [ctb], Domenico Perrotta [ctb], Andrea Cerioli [ctb]", "Maintainer": "Valentin Todorov ", "NeedsCompilation": "no", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "make default-jdk", "Repository": "https://uniprjrc.r-universe.dev", "Date/Publication": "2026-05-19 22:03:01 UTC", "RemoteUrl": "https://github.com/uniprjrc/fsdar", "RemoteRef": "HEAD", "RemoteSha": 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}, { "page": "smult", "title": "Computes S estimators in multivariate analysis", "topics": [ "smult" ] }, { "page": "smult.object", "title": "Description of 'smult.object' Objects", "topics": [ "smult.object" ] }, { "page": "smulteda.object", "title": "Description of 'smulteda.object' Objects", "topics": [ "smulteda.object" ] }, { "page": "spmplot", "title": "Interactive scatterplot matrix", "topics": [ "spmplot" ] }, { "page": "Sreg_control", "title": "Creates an 'Sreg_control' object", "topics": [ "Sreg_control" ] }, { "page": "sreg.object", "title": "Description of sreg Objects", "topics": [ "sreg.object" ] }, { "page": "Sregeda_control", "title": "Creates an 'Sregeda_control' object", "topics": [ "Sregeda_control" ] }, { "page": "sregeda.object", "title": "Description of 'sregeda' Objects", "topics": [ "sregeda.object" ] }, { "page": "summary.lms", "title": "Summary Method for 'fsdalms' objects", "topics": [ "print.summary.fsdalms", "summary.fsdalms" ] }, { "page": "summary.lts", 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