{
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  "Package": "geoBayes",
  "Type": "Package",
  "Title": "Analysis of Geostatistical Data using Bayes and Empirical Bayes\nMethods",
  "Description": "Functions to fit geostatistical data. The data can be\ncontinuous, binary or count data and the models implemented are\nflexible. Conjugate priors are assumed on some parameters while\ninference on the other parameters can be done through a full\nBayesian analysis of by empirical Bayes methods.",
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  "Date": "2026-05-14",
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  "Maintainer": "Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>",
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  "Encoding": "UTF-8",
  "License": "GPL (>= 2)",
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  "Repository": "https://cran.r-universe.dev",
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    ".geoBayes_models",
    "alik_cutoff",
    "alik_inla",
    "alik_optim",
    "alik_plot",
    "bf1skel",
    "bf2new",
    "bf2optim",
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    "linkinv",
    "mcmcmake",
    "mcsglmm",
    "mcsglmm_mala",
    "mcstrga",
    "mcstrga_mala",
    "mkpredgrid2d",
    "plotbf2",
    "revlogreg",
    "rsglmm",
    "rsgrf",
    "rstrga",
    "select_proposals_ENT",
    "select_proposals_MNX",
    "select_proposals_SEQ",
    "spcovariance",
    "sploglik",
    "sploglik_cross",
    "stackdata"
  ],
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    {
      "name": "rhizoctonia",
      "title": "Rhizoctonia root rot infections",
      "object": "rhizoctonia",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Xcoord",
        "Ycoord",
        "Total",
        "Infected",
        "Yield"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "alik_cutoff",
      "title": "Approximate log-likelihood calculation",
      "topics": [
        "alik_cutoff",
        "alik_plot"
      ]
    },
    {
      "page": "alik_inla",
      "title": "Log-likelihood approximation",
      "topics": [
        "alik_inla"
      ]
    },
    {
      "page": "alik_optim",
      "title": "Log-likelihood maximisation",
      "topics": [
        "alik_optim"
      ]
    },
    {
      "page": "bf1skel",
      "title": "Computation of Bayes factors at the skeleton points",
      "topics": [
        "bf1skel"
      ]
    },
    {
      "page": "bf2new",
      "title": "Compute the Bayes factors at new points",
      "topics": [
        "bf2new"
      ]
    },
    {
      "page": "bf2optim",
      "title": "Empirical Bayes estimator",
      "topics": [
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      ]
    },
    {
      "page": "bf2se",
      "title": "Empirical Bayes standard errors",
      "topics": [
        "bf2se"
      ]
    },
    {
      "page": "bmbfse",
      "title": "Batch means, Bayes factors standard errors",
      "topics": [
        "bmbfse"
      ]
    },
    {
      "page": "geoBayes",
      "title": "The 'geoBayes' package",
      "topics": [
        "geoBayes-package",
        "geoBayes"
      ]
    },
    {
      "page": "geoBayes_correlation",
      "title": "Spatial correlation used in the geoBayes package",
      "topics": [
        ".geoBayes_corrfcn",
        "geoBayes_correlation"
      ]
    },
    {
      "page": "geoBayes_models",
      "title": "Models used in the geoBayes package",
      "topics": [
        ".geoBayes_models",
        "geoBayes_models"
      ]
    },
    {
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        "linkinv"
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      ]
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    {
      "page": "mcsglmm",
      "title": "MCMC samples from the Spatial GLMM",
      "topics": [
        "mcsglmm"
      ]
    },
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      "title": "MCMC samples from the Spatial GLMM",
      "topics": [
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      ]
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      "page": "mcstrga",
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      "topics": [
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      "page": "mcstrga_mala",
      "title": "MCMC samples from the transformed Gaussian model",
      "topics": [
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      "topics": [
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      "topics": [
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      ]
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      "topics": [
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        "select_proposals_MNX",
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