{
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  "Package": "VIM",
  "Version": "7.5.1",
  "Title": "Visualization and Imputation of Missing Values",
  "Authors@R": "c(\nperson(\"Matthias\", \"Templ\", email = \"matthias.templ@gmail.com\", role = c(\"aut\",\"cre\")),\nperson(\"Alexander\", \"Kowarik\", email = \"alexander.kowarik@statistik.gv.at\", role = c(\"aut\"), comment=c(ORCID=\"0000-0001-8598-4130\")),\nperson(\"Andreas\", \"Alfons\", role = c(\"aut\")),\nperson(\"Johannes\", \"Gussenbauer\", role = c(\"aut\")),\nperson(\"Nina\", \"Niederhametner\", role = c(\"aut\")),\nperson(\"Eileen\", \"Vattheuer\", role = c(\"aut\")),\nperson(\"Gregor\", \"de Cillia\", email = \"gregor.decillia@statistik.gv.at\", role = c(\"aut\")),\nperson(\"Bernd\", \"Prantner\", role = c(\"ctb\")),\nperson(\"Wolfgang\", \"Rannetbauer\", role = c(\"aut\"))\n)",
  "Description": "Provides methods for imputation and visualization of\nmissing values. It includes graphical tools to explore the\namount, structure and patterns of missing and/or imputed\nvalues, supporting exploratory data analysis and helping to\ninvestigate potential missingness mechanisms (details in\nAlfons, Templ and Filzmoser, <doi:10.1007/s11634-011-0102-y>).\nThe quality of imputations can be assessed visually using a\nwide range of univariate, bivariate and multivariate plots. The\npackage further provides several imputation methods, including\nefficient implementations of k-nearest neighbour and hot-deck\nimputation (Kowarik and Templ 2013,\n<doi:10.18637/jss.v074.i07>), iterative robust model-based\nmultiple imputation (Templ 2011,\n<doi:10.1016/j.csda.2011.04.012>; Templ 2023,\n<doi:10.3390/math11122729>), and machine learning–based\napproaches such as robust GAM-based multiple imputation (Templ\n2024, <doi:10.1007/s11222-024-10429-1>) as well as random\nforest and gradient boosting (XGBoost) imputation\n(Niederhametner et al., <doi:10.1177/18747655251339401>).\nGeneral background and practical guidance on imputation are\nprovided in the Springer book by Templ (2023)\n<doi:10.1007/978-3-031-30073-8>.",
  "LazyData": "TRUE",
  "ByteCompile": "TRUE",
  "License": "GPL (>= 2)",
  "URL": "https://github.com/statistikat/VIM",
  "BugReports": "https://github.com/statistikat/VIM/issues",
  "Encoding": "UTF-8",
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  "Repository": "https://statistikat.r-universe.dev",
  "Date/Publication": "2026-09-22 09:49:31 UTC",
  "RemoteUrl": "https://github.com/statistikat/vim",
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  "Packaged": {
    "Date": "2026-09-22 15:16:48 UTC",
    "User": "root"
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  "Author": "Matthias Templ [aut, cre],\nAlexander Kowarik [aut] (ORCID:\n<https://orcid.org/0000-0001-8598-4130>),\nAndreas Alfons [aut],\nJohannes Gussenbauer [aut],\nNina Niederhametner [aut],\nEileen Vattheuer [aut],\nGregor de Cillia [aut],\nBernd Prantner [ctb],\nWolfgang Rannetbauer [aut]",
  "Maintainer": "Matthias Templ <matthias.templ@gmail.com>",
  "_user": "statistikat",
  "_type": "src",
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  "_expires": "2026-12-31T15:39:07.000Z",
  "_created": "2026-09-22T15:16:48.000Z",
  "_published": "2026-09-22T15:39:10.113Z",
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    "id": "f6fca25aafb4bcd3bca954711a224e110da1bf45",
    "author": "Matthias Templ <matthias.templ@gmail.com>",
    "committer": "Matthias Templ <matthias.templ@gmail.com>",
    "message": "cellGLoc: wording of the additive correction's docs, tests and NEWS (Task 27 fix round 1)\n\nWording only: no R code, no assertion, no threshold, no fixture changes.\n\n- .gloc_correct_scatter's title claimed consistency; the correction is first\n  order (spec §2.3). It is now \"Correct a weighted scatter for its\n  downweighting, to first order, at the Gaussian model\"; the test header on\n  the correction likewise says \"corrected for its downweighting (to first\n  order; S1 below)\". The remaining \"consistent\" statements in the branch are\n  about the scalar factor under independence (.gloc_consistency) or quote the\n  old text, and stay.\n- S1's measured numbers are marked as measured on the author's machine\n  (Accelerate BLAS): S0 has a fourfold eigenvalue, so mvrnorm's draw depends\n  on the BLAS.\n- Header sentences contradicted by the corrections below them are scoped: the\n  peer-band block's \"seed 4 is used\", the 7.4.0 fixture block's \"reproduces\n  VIM 7.4.0's ESTIMATES\", spec test 2's \"reproduces VIM 7.4.1\" (its soft\n  entries are now a regression pin at 0f66b50, said as the R65 comment says\n  it), and the R65 fixture block's \"what the commit before the warning\n  returned\".\n- The 7.4.0 fixture comment says that expect_equal(all_peers, ...) holds by\n  construction for the rebuilt soft entries: a regression pin on\n  .gloc_impute() and the estimates, not evidence about 7.4.0's imputation.\n- The swamping comment's expected count is 50 x 9/950 = 0.47, not 0.48.\n- NEWS: one bullet re-wrapped where a line broke mid-sentence.\n\ndevtools::document() changes only dot-gloc_correct_scatter.Rd's title. Both\ncellGLoc test files: 478 / 394 results, 0 failures, the known 18 warnings.\ndevtools::check(): 0 errors, 0 warnings, 1 note (unable to verify current\ntime).\n\nCo-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01AYbxBtNZAFzqWW8hc7vHui\n",
    "time": 1790070571
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    "email": "matthias.templ@gmail.com",
    "login": "matthias-da",
    "description": "Matthias Templ is a Professor at the University of Applied Sciences Northwestern Switzerland. \nInterest: imputation, anonymization",
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      "page": "parcoordMiss",
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    {
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    {
      "page": "regressionImp",
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      "page": "rugNA",
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