{
  "_id": "6a1f11c1b401979e7341db10",
  "Package": "ppmSuite",
  "Type": "Package",
  "Title": "A Collection of Models that Employ Product Partition\nDistributions as a Prior on Partitions",
  "Version": "0.3.4",
  "Authors@R": "c(\nperson(given = \"Garritt L.\", family = \"Page\", email = \"page@stat.byu.edu\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(given = \"Jose\", family = \"J. Quinlan\", email = \"jjquinla@uc.cl\", role = c(\"aut\", \"cph\")),\nperson(given = \"S. McKay\", family = \"Curtis\", email = \"s.mckay.curtis@gmail.com\", role = c(\"ctb\", \"cph\")),\nperson(given = \"Radford M.\", family = \"Neal\", role = c(\"ctb\", \"cph\")))",
  "Maintainer": "Garritt L. Page <page@stat.byu.edu>",
  "Description": "Provides a suite of functions that fit models that use PPM\ntype priors for partitions. Models include hierarchical\nGaussian and probit ordinal models with a (covariate dependent)\nPPM.  If a covariate dependent product partition model is\nselected, then all the options detailed in Page, G.L.;\nQuintana, F.A. (2018) <doi:10.1007/s11222-017-9777-z> are\navailable.  If covariate values are missing, then the approach\ndetailed in Page, G.L.; Quintana, F.A.; Mueller, P (2020)\n<doi:10.1080/10618600.2021.1999824> is employed.  Also included\nin the package is a function that fits a Gaussian likelihood\nspatial product partition model that is detailed in Page, G.L.;\nQuintana, F.A. (2016) <doi:10.1214/15-BA971>, and multivariate\nPPM change point models that are detailed in Quinlan, J.J.;\nPage, G.L.; Castro, L.M. (2023) <doi:10.1214/22-BA1344>. In\naddition, a function that fits a univariate or bivariate\nfunctional data model that employs a PPM or a PPMx to cluster\ncurves based on B-spline coefficients is provided.",
  "License": "GPL",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-17 07:50:31 UTC",
    "User": "root"
  },
  "Author": "Garritt L. Page [aut, cre, cph], Jose J. Quinlan [aut, cph], S.\nMcKay Curtis [ctb, cph], Radford M. Neal [ctb, cph]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-07-16 08:32:43 UTC",
  "RemoteUrl": "https://github.com/cran/ppmSuite",
  "RemoteRef": "HEAD",
  "RemoteSha": "43e44f63ec1f6254a06b959dc9678355afa794cd",
  "MD5sum": "8fb2f8367f16cd96f720276af4152b0e",
  "_user": "cran",
  "_type": "src",
  "_file": "ppmSuite_0.3.4.tar.gz",
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  "_created": "2026-05-17T07:50:31.000Z",
  "_published": "2026-06-02T17:24:17.890Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/25984956555",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/ppmSuite",
  "_commit": {
    "id": "43e44f63ec1f6254a06b959dc9678355afa794cd",
    "author": "Garritt L. Page <page@stat.byu.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.3.4\n",
    "time": 1689496363
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  "_maintainer": {
    "name": "Garritt L. Page",
    "email": "page@stat.byu.edu"
  },
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  "_dependencies": [
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    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
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      "role": "Suggests"
    }
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 2,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ppmSuite"
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ppmSuite.html",
    "manual.pdf"
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  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "0.1.0",
      "date": "2020-11-23"
    },
    {
      "version": "0.1.1",
      "date": "2020-11-27"
    },
    {
      "version": "0.1.3",
      "date": "2021-01-04"
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      "date": "2021-05-30"
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      "date": "2021-06-29"
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    {
      "version": "0.1.8",
      "date": "2021-09-14"
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    {
      "version": "0.2.1",
      "date": "2022-01-21"
    },
    {
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      "date": "2022-06-01"
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      "version": "0.2.3",
      "date": "2022-06-13"
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      "date": "2022-06-15"
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      "date": "2023-04-03"
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      "date": "2023-04-09"
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    {
      "version": "0.3.3",
      "date": "2023-07-11"
    },
    {
      "version": "0.3.4",
      "date": "2023-07-16"
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  "_exports": [
    "ccp_ppm",
    "curve_ppmx",
    "gaussian_ppmx",
    "icp_ppm",
    "ordinal_ppmx",
    "rppmx",
    "sppm"
  ],
  "_datasets": [
    {
      "name": "bear",
      "title": "Bear dataset",
      "object": "bear",
      "class": [
        "data.frame"
      ],
      "fields": [
        "age",
        "length",
        "sex",
        "weight",
        "chest",
        "headlen",
        "headwid",
        "month",
        "neck"
      ],
      "rows": 54,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Ozone data",
      "object": "ozone",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Num",
        "maxO3",
        "T9",
        "T12",
        "T15",
        "Ne9",
        "Ne12",
        "Ne15",
        "Vx9",
        "Vx12",
        "Vx15",
        "maxO3v",
        "WindDirection"
      ],
      "rows": 112,
      "table": true,
      "tojson": true
    },
    {
      "name": "scallops",
      "title": "Scallops data",
      "object": "scallops",
      "class": [
        "data.frame"
      ],
      "fields": [
        "strata",
        "sample",
        "lat",
        "long",
        "tcatch",
        "prerec",
        "recruits"
      ],
      "rows": 148,
      "table": true,
      "tojson": true
    },
    {
      "name": "SIMCE",
      "title": "Standardized testing data in Chile",
      "object": "SIMCE",
      "class": [
        "data.frame"
      ],
      "fields": [
        "coords.x1",
        "coords.x2",
        "School",
        "COMUNA",
        "SIMCE05",
        "SIMCE06",
        "SIMCE07",
        "SIMCE08",
        "SIMCE09",
        "SIMCE10",
        "SIMCE11",
        "EDpad05",
        "EDpad06",
        "EDpad07",
        "EDpad08",
        "EDpad09",
        "EDpad10",
        "EDpad11",
        "EDmad05",
        "EDmad06",
        "EDmad07",
        "EDmad08",
        "EDmad09",
        "EDmad10",
        "EDmad11"
      ],
      "rows": 1072,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bear",
      "title": "Bear dataset",
      "topics": [
        "bear"
      ]
    },
    {
      "page": "ccp_ppm",
      "title": "Function that fits a multivariate correlated product partition change point model",
      "topics": [
        "ccp_ppm"
      ]
    },
    {
      "page": "curve_ppmx",
      "title": "Gaussian PPMx Model for Functional Realizations",
      "topics": [
        "curve_ppmx"
      ]
    },
    {
      "page": "gaussian_ppmx",
      "title": "Function that fits Gaussian PPMx model",
      "topics": [
        "gaussian_ppmx"
      ]
    },
    {
      "page": "icp_ppm",
      "title": "Function that fits the multivariate independent product partition change point model",
      "topics": [
        "icp_ppm"
      ]
    },
    {
      "page": "ordinal_ppmx",
      "title": "Function that fits ordinal probit model with a PPMx as a prior on partitions",
      "topics": [
        "ordinal_ppmx"
      ]
    },
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      "title": "Ozone data",
      "topics": [
        "ozone"
      ]
    },
    {
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      "title": "Function generates random realizations from a PPM or PPMx",
      "topics": [
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      "title": "Function that fits spatial product partition model with Gaussian likelihood",
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    "Matrix"
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