{
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  "Package": "VisCollin",
  "Title": "Visualizing Collinearity Diagnostics",
  "Version": "0.1.4",
  "Date": "2025-12-19",
  "Authors@R": "c(person(\"Michael\", \"Friendly\", , \"friendly@yorku.ca\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3237-0941\"))\n)",
  "Description": "Provides methods to calculate diagnostics for\nmulticollinearity among predictors in a linear or generalized\nlinear model. It also provides methods to visualize those\ndiagnostics following Friendly & Kwan (2009), \"Where’s Waldo:\nVisualizing Collinearity Diagnostics\",\n<doi:10.1198/tast.2009.0012>. These include better tabular\npresentation of collinearity diagnostics that highlight the\nimportant numbers, a semi-graphic tableplot of the diagnostics\nto make warning and danger levels more salient, and a\n\"collinearity biplot\" of the smallest dimensions of predictor\nspace, where collinearity is most apparent.",
  "License": "GPL (>=3)",
  "Language": "en-US",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "URL": "https://github.com/friendly/VisCollin,\nhttps://friendly.github.io/VisCollin/",
  "BugReports": "https://github.com/friendly/VisCollin/issues",
  "Repository": "https://friendly.r-universe.dev",
  "Date/Publication": "2025-12-23 18:30:39 UTC",
  "RemoteUrl": "https://github.com/friendly/VisCollin",
  "RemoteRef": "HEAD",
  "RemoteSha": "6ca6dc5f1bc298a3c03fb3151c2cd5da72afa08d",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-23 06:14:12 UTC",
    "User": "root"
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  "Author": "Michael Friendly [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3237-0941>)",
  "Maintainer": "Michael Friendly <friendly@yorku.ca>",
  "MD5sum": "0221de04f89ef73fc1c09f6c2a195803",
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  "_type": "src",
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  "_published": "2026-06-23T06:17:58.194Z",
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    "collinearity-diagnostics",
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    "regression-models"
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