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  "VersionNote": "Released 0.99-6 on 2025-09-03, 0.99-5 on 2024-11-01,\n0.99-4-1 on 2024-09-24, 0.99-4 on 2024-08-19 to CRAN",
  "Date": "2026-02-03",
  "Title": "Basic Robust Statistics",
  "Authors@R": "c(person(\"Martin\",\"Maechler\", role=c(\"aut\",\"cre\"), email=\"maechler@stat.math.ethz.ch\", comment = c(ORCID = \"0000-0002-8685-9910\"))\n, person(\"Peter\", \"Rousseeuw\", role=\"ctb\", comment = \"Qn and Sn\")\n, person(\"Christophe\", \"Croux\", role=\"ctb\", comment = \"Qn and Sn\")\n, person(\"Valentin\", \"Todorov\", role = \"aut\", email = \"valentin.todorov@chello.at\",\ncomment = \"most robust Cov\")\n, person(\"Andreas\", \"Ruckstuhl\", role = \"aut\", email = \"andreas.ruckstuhl@zhaw.ch\",\ncomment = \"nlrob, anova, glmrob\")\n, person(\"Matias\", \"Salibian-Barrera\", role = \"aut\", email = \"matias@stat.ubc.ca\",\ncomment = \"lmrob orig.\")\n, person(\"Tobias\", \"Verbeke\", role = c(\"ctb\",\"fnd\"), email = \"tobias.verbeke@openanalytics.eu\",\ncomment = \"mc, adjbox\")\n, person(\"Manuel\", \"Koller\", role = \"aut\", email = \"koller.manuel@gmail.com\",\ncomment = \"mc, lmrob, psi-func.\")\n, person(c(\"Eduardo\", \"L. T.\"), \"Conceicao\", role = \"aut\", email = \"mail@eduardoconceicao.org\",\ncomment = \"MM-, tau-, CM-, and MTL- nlrob\")\n, person(\"Maria\", \"Anna di Palma\", role = \"ctb\", comment = \"initial version of Comedian\")\n)",
  "URL": "https://robustbase.R-forge.R-project.org/,\nhttps://R-forge.R-project.org/R/?group_id=59,\nhttps://R-forge.R-project.org/scm/viewvc.php/pkg/robustbase/?root=robustbase,\nsvn://svn.r-forge.r-project.org/svnroot/robustbase/pkg/robustbase",
  "BugReports": "https://R-forge.R-project.org/tracker/?atid=302&group_id=59",
  "Description": "\"Essential\" Robust Statistics. Tools allowing to analyze\ndata with robust methods.  This includes regression methodology\nincluding model selections and multivariate statistics where we\nstrive to cover the book \"Robust Statistics, Theory and\nMethods\" by 'Maronna, Martin and Yohai'; Wiley 2006.",
  "SuggestsNote": "mostly only because of vignette graphics and simulation",
  "EnhancesNote": "linked to in man/*.Rd",
  "LazyData": "yes",
  "NeedsCompilation": "yes",
  "License": "GPL (>= 2)",
  "Repository": "https://r-forge.r-universe.dev",
  "Date/Publication": "2026-05-13 21:11:39 UTC",
  "RemoteUrl": "https://github.com/r-forge/robustbase",
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  "RemoteSubdir": "pkg/robustbase",
  "Packaged": {
    "Date": "2026-05-14 04:50:00 UTC",
    "User": "root"
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  "Author": "Martin Maechler [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8685-9910>),\nPeter Rousseeuw [ctb] (Qn and Sn),\nChristophe Croux [ctb] (Qn and Sn),\nValentin Todorov [aut] (most robust Cov),\nAndreas Ruckstuhl [aut] (nlrob, anova, glmrob),\nMatias Salibian-Barrera [aut] (lmrob orig.),\nTobias Verbeke [ctb, fnd] (mc, adjbox),\nManuel Koller [aut] (mc, lmrob, psi-func.),\nEduardo L. T. Conceicao [aut] (MM-, tau-, CM-, and MTL- nlrob),\nMaria Anna di Palma [ctb] (initial version of Comedian)",
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  "_published": "2026-05-22T09:33:24.005Z",
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      "name": "pension",
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        "Y.coord",
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      "name": "starsCYG",
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      "name": "steamUse",
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        "Y"
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      "page": "adjboxStats",
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    {
      "page": "adjOutlyingness",
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        "adjOutlyingness"
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    {
      "page": "aircraft",
      "title": "Aircraft Data",
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      "page": "airmay",
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      "page": "alcohol",
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    {
      "page": "ambientNOxCH",
      "title": "Daily Means of NOx (mono-nitrogen oxides) in air",
      "topics": [
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    {
      "page": "Animals2",
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      "page": "biomassTill",
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    {
      "page": "bushfire",
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      "page": "BYlogreg",
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      "page": "covOGK",
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      "page": "epilepsy",
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      "page": "exAM",
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        "exAM"
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      "page": "foodstamp",
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      "page": "fullRank",
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      "page": "functionX-class",
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      "page": "functionXal-class",
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      "page": "glmrob",
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      "page": "glmrob.control",
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        "glmrobMqle.control",
        "glmrobMT.control"
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      "page": "h.alpha.n",
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      "page": "hbk",
      "title": "Hawkins, Bradu, Kass's Artificial Data",
      "topics": [
        "hbk"
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    {
      "page": "heart",
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        "heart"
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      "page": "huberize",
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      "page": "huberM",
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      "page": "lmc-rmc",
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        "lmrob"
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      "page": "lmrob..D..fit",
      "title": "Compute Design Adaptive Scale estimate",
      "topics": [
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    {
      "page": "lmrob..M..fit",
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    {
      "page": "lmrob.control",
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        ".Mchi.tuning.defaults",
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    {
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