{
  "_id": "6a12bd5cacfb0bcc41d1c9f8",
  "Package": "md",
  "Type": "Package",
  "Title": "Selecting Bandwidth for Kernel Density Estimator with Minimum\nDistance Method",
  "Version": "1.0.4",
  "Date": "2016-02-21",
  "Author": "Genzo Kaga",
  "Maintainer": "Genzo Kaga <genzo.k-1321@ruri.waseda.jp>",
  "Description": "Selects bandwidth for the kernel density estimator with\nminimum distance method as proposed by Devroye and Lugosi\n(1996). The minimum distance method directly selects the\noptimal kernel density estimator from countably infinite kernel\ndensity estimators and indirectly selects the optimal\nbandwidth. This package selects the optimal bandwidth from\nfinite kernel density estimators.",
  "License": "GPL-2 | GPL-3",
  "Packaged": {
    "Date": "2026-05-24 08:54:47 UTC",
    "User": "root"
  },
  "NeedsCompilation": "no",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2016-02-21 17:02:45 UTC",
  "RemoteUrl": "https://github.com/cran/md",
  "RemoteRef": "HEAD",
  "RemoteSha": "080cd3e5932d30465eebe88a6bc7c0452a098703",
  "MD5sum": "fc9c28be7861b034de3f553d506e6bff",
  "_user": "cran",
  "_type": "src",
  "_file": "md_1.0.4.tar.gz",
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  "_created": "2026-05-24T08:54:47.000Z",
  "_published": "2026-05-24T08:57:00.018Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26356839419",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/md",
  "_commit": {
    "id": "080cd3e5932d30465eebe88a6bc7c0452a098703",
    "author": "Genzo Kaga <genzo.k-1321@ruri.waseda.jp>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.4\n",
    "time": 1456074165
  },
  "_maintainer": {
    "name": "Genzo Kaga",
    "email": "genzo.k-1321@ruri.waseda.jp"
  },
  "_registered": true,
  "_dependencies": [],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 171,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/md"
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  "_mentions": 9,
  "_searchresults": 15,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/md.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.4",
      "date": "2016-02-21"
    }
  ],
  "_exports": [
    "counter",
    "deltaboxm",
    "dmm",
    "fhat",
    "fhatboxm",
    "ker",
    "md",
    "nom",
    "scheffe",
    "subcounter",
    "xmm",
    "xym"
  ],
  "_help": [
    {
      "page": "counter",
      "title": "Get 0-1 vector which is used for calculating empirical measure",
      "topics": [
        "counter"
      ]
    },
    {
      "page": "deltaboxm",
      "title": "Calculating delta",
      "topics": [
        "deltaboxm"
      ]
    },
    {
      "page": "dmm",
      "title": "Get number order matrix which is used in md",
      "topics": [
        "dmm"
      ]
    },
    {
      "page": "fhat",
      "title": "Calculating estimated density value on some x with bandwidth h",
      "topics": [
        "fhat"
      ]
    },
    {
      "page": "fhatboxm",
      "title": "Get estimated values of kernel density estimator on domain",
      "topics": [
        "fhatboxm"
      ]
    },
    {
      "page": "ker",
      "title": "Kernel function",
      "topics": [
        "ker"
      ]
    },
    {
      "page": "md",
      "title": "md selects bandwidth for kernel density estimator with minimum distance method. Minimum distance method directly selects optimal kernel density estimator in countably infinite kernel density estimators and indirectly selects optimal bandwidth. md selects optimal bandwidth in countably finite kernel density estimators.",
      "topics": [
        "md"
      ]
    },
    {
      "page": "nom",
      "title": "Get number order matrix which is used in md",
      "topics": [
        "nom"
      ]
    },
    {
      "page": "scheffe",
      "title": "Calculating Scheffe sets",
      "topics": [
        "scheffe"
      ]
    },
    {
      "page": "subcounter",
      "title": "Auxiliary function which is used in md",
      "topics": [
        "subcounter"
      ]
    },
    {
      "page": "xmm",
      "title": "Get number order vector which is used in md",
      "topics": [
        "xmm"
      ]
    },
    {
      "page": "xym",
      "title": "Get number order matrix which is used in md",
      "topics": [
        "xym"
      ]
    }
  ],
  "_rundeps": [],
  "_score": 2.130333768495006,
  "_indexed": true,
  "_nocasepkg": "md",
  "_universes": [
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}