{
  "_id": "6a1eda71b401979e7340f59e",
  "Package": "icmm",
  "Title": "Empirical Bayes Variable Selection via ICM/M Algorithm",
  "Version": "1.2",
  "Authors@R": "c(person(\"Vitara\", \"Pungpapong\", role = c(\"aut\", \"cre\"),\nemail = \"vitara@cbs.chula.ac.th\"),\nperson(\"Min\", \"Zhang\", role = \"ctb\", email=\"minzhang@purdue.edu\"),\nperson(\"Dabao\", \"Zhang\", role = \"ctb\", email = \"zhangdb@purdue.edu\"))",
  "Author": "Vitara Pungpapong [aut, cre], Min Zhang [ctb], Dabao Zhang\n[ctb]",
  "Maintainer": "Vitara Pungpapong <vitara@cbs.chula.ac.th>",
  "Description": "Empirical Bayes variable selection via ICM/M algorithm for\nnormal, binary logistic, and Cox's regression. The basic\nproblem is to fit high-dimensional regression which sparse\ncoefficients. This package allows incorporating the Ising prior\nto capture structure of predictors in the modeling process.\nMore information can be found in the papers listed in the URL\nbelow.",
  "License": "GPL (>= 2)",
  "URL": "https://www.researchgate.net/publication/279279744_Selecting_massive_variables_using_an_iterated_conditional_modesmedians_algorithm,\nhttps://doi.org/10.1089/cmb.2019.0319",
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  "Packaged": {
    "Date": "2026-05-20 09:07:40 UTC",
    "User": "root"
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  "NeedsCompilation": "no",
  "Repository": "https://vitara-p.r-universe.dev",
  "Date/Publication": "2021-05-26 04:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/icmm",
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  "_created": "2026-05-20T09:07:40.000Z",
  "_published": "2026-06-02T13:28:17.026Z",
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  "_status": "success",
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    "author": "Vitara Pungpapong <vitara@cbs.chula.ac.th>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.2\n",
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      "role": "Suggests"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/icmm"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "extra/contents.json",
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    "manual.pdf"
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  "_realowner": "vitara-p",
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  "_releases": [
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      "date": "2017-07-27"
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      "date": "2017-10-12"
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      "date": "2021-05-26"
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    "icmm"
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