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  "Package": "bayescount",
  "Title": "Power Calculations and Bayesian Analysis of Count Distributions\nand FECRT Data using MCMC",
  "Version": "0.9.99-9",
  "Date": "2023-12-08",
  "Authors@R": "person(\"Matthew\", \"Denwood\", role=c(\"aut\",\"cre\"), email=\"md@sund.ku.dk\")",
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  "Description": "A set of functions to allow analysis of count data (such\nas faecal egg count data) using Bayesian MCMC methods.  Returns\ninformation on the possible values for mean count, coefficient\nof variation and zero inflation (true prevalence) present in\nthe data.  A complete faecal egg count reduction test (FECRT)\nmodel is implemented, which returns inference on the true\nefficacy of the drug from the pre- and post-treatment data\nprovided, using non-parametric bootstrapping as well as using\nBayesian MCMC.  Functions to perform power analyses for faecal\negg counts (including FECRT) are also provided.",
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  "URL": "https://bayescount.sourceforge.net",
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  "Packaged": {
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-12-09 02:35:36 UTC",
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    "description": "Associate Professor in Quantitative Veterinary Epidemiology and Biostatistics at the University of Copenhagen",
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    "fec.model",
    "FEC.model",
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    "FEC.power",
    "fec.power.limits",
    "FEC.power.limits",
    "fec.precision",
    "FEC.precision",
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    "FECRT",
    "fecrt.analysis",
    "FECRT.analysis",
    "fecrt.model",
    "FECRT.model",
    "fecrt.power",
    "FECRT.power",
    "fecrt.power.limits",
    "FECRT.power.limits",
    "fecrt.precision",
    "FECRT.precision",
    "likelihood",
    "lnormal.params",
    "maximise.likelihood",
    "normal.params",
    "run.model"
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    {
      "page": "bayescount",
      "title": "Analyse Count data using MCMC",
      "topics": [
        "bayescount"
      ]
    },
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      "page": "run.model",
      "title": "Analyse Count Data Using Jags",
      "topics": [
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        "FEC.model",
        "fec.model",
        "run.model"
      ]
    },
    {
      "page": "fec.power",
      "title": "Count Data Power Analysis Calculations",
      "topics": [
        "count.power",
        "FEC.power",
        "fec.power"
      ]
    },
    {
      "page": "fec.power.limits",
      "title": "Count Data Predicted Precision Calculations",
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        "FEC.power.limits",
        "fec.power.limits",
        "FEC.precision",
        "fec.precision"
      ]
    },
    {
      "page": "fec.analysis",
      "title": "Analyse Count data using MCMC",
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        "count.analysis",
        "FEC.analysis",
        "fec.analysis"
      ]
    },
    {
      "page": "fecrt.analysis",
      "title": "Analyse FECRT Data Using MCMC to Give a Probability Distribution of Values for the Mean Egg Count Reduction",
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        "FECRT",
        "fecrt",
        "FECRT.analysis",
        "fecrt.analysis"
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    },
    {
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        "fecrt.model"
      ]
    },
    {
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        "fecrt.power"
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    },
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        "fecrt.power.limits",
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