{
  "_id": "6a1f2af2b401979e73424e30",
  "Package": "scalablebayesm",
  "Type": "Package",
  "Title": "Distributed Markov Chain Monte Carlo for Bayesian Inference in\nMarketing",
  "Version": "0.2",
  "Date": "2025-01-28",
  "Authors@R": "c(\nperson(given = \"Federico\",\nfamily = \"Bumbaca\",\nrole = c(\"aut\", \"cre\"),\nemail = \"federico.bumbaca@colorado.edu\"),\nperson(given = \"Jackson\",\nfamily = \"Novak\",\nrole = \"aut\"))",
  "Maintainer": "Federico Bumbaca <federico.bumbaca@colorado.edu>",
  "Description": "Estimates unit-level and population-level parameters from\na hierarchical model in marketing applications. The package\nincludes: Hierarchical Linear Models with a mixture of normals\nprior and covariates, Hierarchical Multinomial Logits with a\nmixture of normals prior and covariates, Hierarchical\nMultinomial Logits with a Dirichlet Process prior and\ncovariates. For more details, see Bumbaca, F. (Rico), Misra,\nS., & Rossi, P. E. (2020) <doi:10.1177/0022243720952410>\n\"Scalable Target Marketing: Distributed Markov Chain Monte\nCarlo for Bayesian Hierarchical Models\". Journal of Marketing\nResearch, 57(6), 999-1018.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.1",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-15 07:38:56 UTC",
    "User": "root"
  },
  "Author": "Federico Bumbaca [aut, cre], Jackson Novak [aut]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-02-25 12:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/scalablebayesm",
  "RemoteRef": "HEAD",
  "RemoteSha": "9b4927b7d907652e352744ecab6295b46b56ff16",
  "MD5sum": "146693f943fe78b230006ccec01a83fa",
  "_user": "cran",
  "_type": "src",
  "_file": "scalablebayesm_0.2.tar.gz",
  "_fileid": "3468a5c2eec2a6e0cfd46a4b4af020931f9786de6603b44dce901be7d1ba52e3",
  "_filesize": 336658,
  "_sha256": "3468a5c2eec2a6e0cfd46a4b4af020931f9786de6603b44dce901be7d1ba52e3",
  "_created": "2026-05-15T07:38:56.000Z",
  "_published": "2026-06-02T19:11:46.736Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79151383963,
      "time": 191,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7012465022"
    },
    {
      "job": 79151383836,
      "time": 233,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7012472303"
    },
    {
      "job": 79151384507,
      "time": 198,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7012466826"
    },
    {
      "job": 79151383762,
      "time": 220,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7012470268"
    },
    {
      "job": 79151382992,
      "time": 245,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7012414920"
    },
    {
      "job": 79151383126,
      "time": 144,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7367398702"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/25906316089",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/scalablebayesm",
  "_commit": {
    "id": "9b4927b7d907652e352744ecab6295b46b56ff16",
    "author": "Federico Bumbaca <federico.bumbaca@colorado.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.2\n",
    "time": 1740486602
  },
  "_maintainer": {
    "name": "Federico Bumbaca",
    "email": "federico.bumbaca@colorado.edu"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "bayesm",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.9",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "bayesm",
      "role": "Imports"
    }
  ],
  "_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": 156,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/scalablebayesm"
  },
  "_searchresults": 0,
  "_topics": [
    "openblas",
    "cpp",
    "openmp"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/scalablebayesm.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.2",
      "date": "2025-02-25"
    }
  ],
  "_exports": [
    "combine_draws",
    "drawMixture",
    "drawPosteriorParallel",
    "hello",
    "partition_data",
    "rheteroLinearIndepMetrop",
    "rheteroMnlIndepMetrop",
    "rhierLinearDPParallel",
    "rhierLinearMixtureParallel",
    "rhierMnlDPParallel",
    "rhierMnlRwMixtureParallel",
    "s_max",
    "sample_data"
  ],
  "_help": [
    {
      "page": "combine_draws",
      "title": "Combine Lists of Draws From a Posterior Predictive Distribution",
      "topics": [
        "combine_draws"
      ]
    },
    {
      "page": "drawMixture",
      "title": "Gibbs Sampler Inference for a Mixture of Multivariate Normals",
      "topics": [
        "drawMixture"
      ]
    },
    {
      "page": "drawPosteriorParallel",
      "title": "Draw from Posterior Parallel Distribution",
      "topics": [
        "drawPosteriorParallel"
      ]
    },
    {
      "page": "hello",
      "title": "A placeholder function using roxygen",
      "topics": [
        "hello"
      ]
    },
    {
      "page": "partition_data",
      "title": "Partition Data Into Shards",
      "topics": [
        "partition_data"
      ]
    },
    {
      "page": "rheteroLinearIndepMetrop",
      "title": "Distributed Independence Metropolis-Hastings Algorithm for Draws From Multivariate Normal Distribution",
      "topics": [
        "rheteroLinearIndepMetrop"
      ]
    },
    {
      "page": "rheteroMnlIndepMetrop",
      "title": "Independence Metropolis-Hastings Algorithm for Draws From Multinomial Distribution",
      "topics": [
        "rheteroMnlIndepMetrop"
      ]
    },
    {
      "page": "rhierLinearDPParallel",
      "title": "MCMC Algorithm for Hierarchical Linear Model with Dirichlet Process Prior Heterogeneity",
      "topics": [
        "rhierLinearDPParallel"
      ]
    },
    {
      "page": "rhierLinearMixtureParallel",
      "title": "MCMC Algorithm for Hierarchical Multinomial Linear Model with Mixture-of-Normals Heterogeneity",
      "topics": [
        "rhierLinearMixtureParallel"
      ]
    },
    {
      "page": "rhierMnlDPParallel",
      "title": "MCMC Algorithm for Hierarchical Multinomial Logit with Dirichlet Process Prior Heterogeneity",
      "topics": [
        "rhierMnlDPParallel"
      ]
    },
    {
      "page": "rhierMnlRwMixtureParallel",
      "title": "MCMC Algorithm for Hierarchical Multinomial Logit with Mixture-of-Normals Heterogeneity",
      "topics": [
        "rhierMnlRwMixtureParallel"
      ]
    },
    {
      "page": "s_max",
      "title": "Calculate Maximum Number of Shards",
      "topics": [
        "s_max"
      ]
    },
    {
      "page": "sample_data",
      "title": "Sample Data",
      "topics": [
        "sample_data"
      ]
    }
  ],
  "_rundeps": [
    "bayesm",
    "Rcpp",
    "RcppArmadillo"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    },
    {
      "shlib": "libgomp",
      "package": "libgomp1",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "openmp",
      "homepage": "http://gcc.gnu.org/",
      "description": "GCC OpenMP (GOMP) support library"
    }
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "scalablebayesm",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2",
      "date": "2026-05-15T07:42:01.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "9b4927b7d907652e352744ecab6295b46b56ff16",
      "fileid": "a9cc3ae8db26b4993d46907e518179d01b9cbbc3df91b5f020f016c4a476bb73",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/25906316089"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2",
      "date": "2026-05-15T07:42:18.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "9b4927b7d907652e352744ecab6295b46b56ff16",
      "fileid": "f17df3969d54fefc227d25811ea3f9fff8c4ba2aa51bbec9ce28979d0d2d693e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/25906316089"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2",
      "date": "2026-05-15T07:42:06.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "9b4927b7d907652e352744ecab6295b46b56ff16",
      "fileid": "6416f66eb12d7ea05f8b2caead9fbf70ba5376d081d4411c4be58a735cbd546f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/25906316089"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2",
      "date": "2026-05-15T07:41:57.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "9b4927b7d907652e352744ecab6295b46b56ff16",
      "fileid": "31846b850e82dff4fb2b9a0e7c0677e8b07248e8b945f812864011b0823a660d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/25906316089"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.2",
      "date": "2026-06-02T19:10:43.000Z",
      "arch": "emscripten",
      "commit": "9b4927b7d907652e352744ecab6295b46b56ff16",
      "fileid": "9bcc850eb89c25798ed63f92dcf4bd7ae13ddb9aad8aeb4cf9ecf78753861644",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/25906316089"
    }
  ]
}