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      "headers": "jags",
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      "name": "jags",
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      "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler.  It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary."
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  "_vignettes": [
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      "source": "eefAnalytics.Rmd",
      "filename": "eefAnalytics.html",
      "title": "Introduction to eefAnalytics",
      "engine": "knitr::rmarkdown",
      "headings": [
        "DESCRIPTION",
        "ComparePlot: A plot function to compare different eefAnalytics S3 objects from the eefAnalytics package.",
        "Description",
        "Usage",
        "Arguments",
        "Details",
        "Value",
        "Examples",
        "crtBayes: Bayesian analysis of cluster randomised education trials using Vague Priors.",
        "crtData: Cluster Randomised Trial Data.",
        "Format",
        "crtFREQ: Analysis of Cluster Randomised Education Trials using Multilevel Model under a Frequentist Setting.",
        "eefAnalytics-defunct: Defunct functions in eefAnalytics",
        "mstBayes: Bayesian analysis of Multisite Randomised Education Trials using Vague Priors.",
        "mstData: Multisite Trial Data.",
        "mstFREQ: Analysis of Multisite Randomised Education Trials using Multilevel Model under a Frequentist Setting.",
        "plot.eefAnalytics: A plot method for an eefAnalytics S3 object obtained from the eefAnalytics package.",
        "print.eefAnalytics: Print for a fitted model represented by an eefAnalytics object.",
        "srtBayes: Analysis of Simple Randomised Education Trials using Bayesian Linear Regression Model with Vague Priors.",
        "srtFREQ: Analysis of Simple Randomised Education Trial using Linear Regression Model.",
        "GainIndex: Calculate the Gain Index (GI) using JAGS.",
        "summary.eefAnalytics: Summary for a fitted model represented by an eefAnalytics object."
      ],
      "created": "2024-10-07 16:20:50",
      "modified": "2024-10-07 16:20:50",
      "commits": 1
    }
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  "_indexed": true,
  "_nocasepkg": "eefanalytics",
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