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  "Package": "EMSNM",
  "Type": "Package",
  "Title": "EM Algorithm for Sigmoid Normal Model",
  "Version": "1.0",
  "Date": "2019-04-19",
  "Author": "Linsui Deng <denglinsui@gmail.com>",
  "Maintainer": "Linsui Deng <denglinsui@gmail.com>",
  "Description": "It provides a method based on EM algorithm to estimate the\nparameter of a mixture model, Sigmoid-Normal Model, where the\nsamples come from several normal distributions (also call them\nsubgroups) whose mean is determined by co-variable Z and\ncoefficient alpha while the variance are homogeneous.\nMeanwhile, the subgroup each item belongs to is determined by\nco-variables X and coefficient eta through Sigmoid link\nfunction which is the extension of Logistic Link function. It\nuses bootstrap to estimate the standard error of parameters.\nWhen sample is indeed separable, removing estimation with\nabnormal sigma, the estimation of alpha is quite well. I used\nthis method to explore the subgroup structure of HIV patients\nand it can be used in other domains where exists subgroup\nstructure.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-22 08:16:09 UTC",
    "User": "root"
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  "Repository": "https://denglinsui.r-universe.dev",
  "Date/Publication": "2019-04-25 08:10:03 UTC",
  "RemoteUrl": "https://github.com/cran/EMSNM",
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    "author": "Linsui Deng <denglinsui@gmail.com>",
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    "email": "denglinsui@gmail.com",
    "login": "denglinsui",
    "description": "Ph.D. in Statistics",
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    "EM_parameter_sd",
    "EM_result_sort",
    "EMalgorithm",
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    "Ggenerate",
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    {
      "page": "EMSNM-package",
      "title": "EM Algorithm for Sigmoid Normal Model",
      "topics": [
        "EMSNM-package",
        "EMSNM"
      ]
    },
    {
      "page": "Ccompute",
      "title": "Ccompute",
      "topics": [
        "Ccompute"
      ]
    },
    {
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      "title": "Bootstrap Parameter Inference",
      "topics": [
        "EM_parameter_sd"
      ]
    },
    {
      "page": "EM_result_sort",
      "title": "Sort Parameter",
      "topics": [
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    },
    {
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      "title": "Parameter Estimation",
      "topics": [
        "EMalgorithm"
      ]
    },
    {
      "page": "EMbootstrap",
      "title": "Bootstrap Method",
      "topics": [
        "EMbootstrap"
      ]
    },
    {
      "page": "EMsimulation",
      "title": "Simulation For Estimation",
      "topics": [
        "EMsimulation"
      ]
    },
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      "page": "fnorm",
      "title": "Density Value",
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        "fnorm"
      ]
    },
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      "title": "Subgroup Determination",
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    },
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      "topics": [
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    },
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      "title": "Data Standardlization",
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      ]
    },
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      "title": "Updata Eta",
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      ]
    },
    {
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      "title": "Updata Alpha and Sigma",
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    },
    {
      "page": "weight_matrix",
      "title": "Weighted Inner Product",
      "topics": [
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      ]
    },
    {
      "page": "Wgenerate",
      "title": "Sigmoid Logistic Data Generation",
      "topics": [
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      ]
    }
  ],
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