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  "Package": "icmm",
  "Title": "Empirical Bayes Variable Selection via ICM/M Algorithm",
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  "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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  "Date/Publication": "2021-05-26 04:20:02 UTC",
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    "get.sigma",
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        "array"
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      "title": "Initial values for the regression coefficients used in example for running ICM/M algorithm in Cox's model",
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        "array"
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      "table": true,
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      "title": "Initial values for the regression coefficients used in example for running ICM/M algorithm in normal linear regression model",
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        "array"
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        "EdgeIndices"
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      "title": "Simulated data from the binary logistic regression model",
      "object": "simBinomial",
      "class": [
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      ],
      "fields": [],
      "rows": 100,
      "table": true,
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      "rows": 100,
      "table": true,
      "tojson": true
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    {
      "page": "icmm-package",
      "title": "Empirical Bayes Variable Selection via ICM/M",
      "topics": [
        "icmm-package"
      ]
    },
    {
      "page": "get.ab",
      "title": "Hyperparameter estimation for 'a' and 'b'.",
      "topics": [
        "get.ab"
      ]
    },
    {
      "page": "get.alpha",
      "title": "Hyperparameter estimation for 'alpha'.",
      "topics": [
        "get.alpha"
      ]
    },
    {
      "page": "get.beta",
      "title": "Obtain model coefficient without assuming prior on structure of predictors.",
      "topics": [
        "get.beta"
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    },
    {
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      "title": "Obtain a regression coefficient when assuming Ising prior (with structured predictors).",
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    },
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      ]
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      "title": "Estimate posterior probability of mixing weight.",
      "topics": [
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      "topics": [
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      "title": "Empirical Bayes Variable Selection",
      "topics": [
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      "title": "Initial values for the regression coefficients used in example for running ICM/M algorithm in binary logistic model",
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      "title": "Initial values for the regression coefficients used in example for running ICM/M algorithm in Cox's model",
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