{
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  "Package": "ptycho",
  "Type": "Package",
  "Title": "Bayesian Variable Selection with Hierarchical Priors",
  "Version": "1.1-5",
  "Author": "Laurel Stell [aut, cre], Chiara Sabatti [aut]",
  "Maintainer": "Laurel Stell <lstell@stanford.edu>",
  "Authors@R": "c(person(given = \"Laurel\",\nfamily = \"Stell\",\nrole = c(\"aut\", \"cre\"),\nemail = \"lstell@stanford.edu\"),\nperson(given = \"Chiara\",\nfamily = \"Sabatti\",\nrole = \"aut\"))",
  "URL": "http://web.stanford.edu/~lstell/ptycho/",
  "Description": "Bayesian variable selection for linear regression models\nusing hierarchical priors. There is a prior that combines\ninformation across responses and one that combines information\nacross covariates, as well as a standard spike and slab prior\nfor comparison. An MCMC samples from the marginal posterior\ndistribution for the 0-1 variables indicating if each covariate\nbelongs to the model for each response.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-25 10:52:45 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-04-08 23:30:07 UTC",
  "RemoteUrl": "https://github.com/cran/ptycho",
  "RemoteRef": "HEAD",
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  "MD5sum": "6116df8e5f61f8fdfe0a0fd8c0798433",
  "_user": "cran",
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    "author": "Laurel Stell <lstell@stanford.edu>",
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    "message": "version 1.1-5\n",
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    "email": "lstell@stanford.edu"
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    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ptycho"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ptycho.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
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  "_releases": [
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      "date": "2015-09-12"
    },
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      "date": "2015-11-12"
    },
    {
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    "createData",
    "createDataBayesModel",
    "createGroupsSim",
    "createOrthogonalX",
    "createPubData",
    "indicGrpCols",
    "indicVarCols",
    "meanGrpIndicators",
    "meanIndicators",
    "meanTau",
    "meanVarIndicators",
    "ptycho",
    "ptycho.all",
    "varTau"
  ],
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      "name": "ptychoIn",
      "title": "Sample Data",
      "object": "ptychoIn",
      "file": "ptychoIn.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "ptychoOut",
      "title": "Sample Data",
      "object": "ptychoOut",
      "file": "ptychoOut.rda",
      "class": [
        "ptycho"
      ],
      "fields": [
        "chain",
        "iter",
        "indic.grp[1,y1]",
        "indic.grp[2,y1]",
        "indic.var[1,y1]",
        "indic.var[2,y1]",
        "indic.var[3,y1]",
        "indic.var[4,y1]",
        "indic.var[5,y1]",
        "indic.var[6,y1]",
        "indic.var[7,y1]",
        "indic.var[8,y1]",
        "indic.var[9,y1]",
        "indic.var[10,y1]",
        "tau",
        "tau2"
      ],
      "rows": 10,
      "table": false,
      "tojson": false
    },
    {
      "name": "tinysim",
      "title": "Sample Data",
      "object": "tinysim",
      "file": "tinysim.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ptycho-package",
      "title": "Bayesian Variable Selection with Hierarchical Priors",
      "topics": [
        "ptycho-package"
      ]
    },
    {
      "page": "checkConvergence",
      "title": "Compute Differences Between MCMC Chains",
      "topics": [
        "checkConvergence"
      ]
    },
    {
      "page": "createData",
      "title": "Simulate Data",
      "topics": [
        "createData",
        "createDataBayesModel",
        "createPubData"
      ]
    },
    {
      "page": "createGroupsSim",
      "title": "Create Groups of Covariates",
      "topics": [
        "createGroupsSim"
      ]
    },
    {
      "page": "createOrthogonalX",
      "title": "Create Design Matrix With Orthogonal Columns",
      "topics": [
        "createOrthogonalX"
      ]
    },
    {
      "page": "Data",
      "title": "Sample Data",
      "topics": [
        "Data",
        "ptychoIn",
        "ptychoOut",
        "tinysim"
      ]
    },
    {
      "page": "PosteriorStatistics",
      "title": "Extract Posterior Statistics",
      "topics": [
        "meanGrpIndicators",
        "meanIndicators",
        "meanTau",
        "meanVarIndicators",
        "PosteriorStatistics",
        "varTau"
      ]
    },
    {
      "page": "print.ptycho",
      "title": "Print ptycho Object",
      "topics": [
        "print.ptycho"
      ]
    },
    {
      "page": "ptycho",
      "title": "Sample From Posterior Distributions",
      "topics": [
        "ptycho",
        "ptycho.all"
      ]
    },
    {
      "page": "WhichCols",
      "title": "Identify Columns Containing Indicator Variables",
      "topics": [
        "indicGrpCols",
        "indicVarCols",
        "WhichCols"
      ]
    }
  ],
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    "coda",
    "glue",
    "lattice",
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    "Rcpp",
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    "rlang",
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  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "ptycho",
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