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    "normal",
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    "random_effects",
    "selection",
    "single_comp_plot",
    "student_t",
    "study_effects",
    "treatment_effect",
    "uniform"
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      "topics": [
        "baggr"
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      "page": "forest_plot",
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        "funnel_plot"
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      "page": "get_order",
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      "page": "mint",
      "title": "\"Mean and interval\" function, including other summaries, calculated for matrix (by column) or vector",
      "topics": [
        "mint"
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    {
      "page": "mutau_cor",
      "title": "Correlation between mu and tau in a baggr model",
      "topics": [
        "mutau_cor"
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    {
      "page": "plot_quantiles",
      "title": "plot quantiles",
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    {
      "page": "plot.baggr",
      "title": "Plotting method for baggr outputs",
      "topics": [
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    {
      "page": "plot.baggr_compare",
      "title": "Plot method for baggr_compare models",
      "topics": [
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    },
    {
      "page": "plot.baggr_cv",
      "title": "Plotting method for results of baggr LOO analyses",
      "topics": [
        "plot.baggr_cv"
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    {
      "page": "pooling",
      "title": "Pooling metrics and related statistics for baggr",
      "topics": [
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        "pooling",
        "weights.baggr"
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    },
    {
      "page": "predict.baggr",
      "title": "Predict treatment effects from baggr model",
      "topics": [
        "predict.baggr"
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    },
    {
      "page": "prepare_ma",
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    {
      "page": "prepare_prior",
      "title": "Prepare prior values for Stan models in baggr",
      "topics": [
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      "page": "print_dist",
      "title": "Output a distribution as a string",
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    },
    {
      "page": "print.baggr",
      "title": "S3 print method for objects of class 'baggr' (model fits)",
      "topics": [
        "print.baggr"
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    },
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      "page": "print.baggr_compare",
      "title": "Print method for baggr_compare models",
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    {
      "page": "print.baggr_cv",
      "title": "Print baggr cv objects nicely",
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    {
      "page": "print.compare_baggr_cv",
      "title": "Print baggr_cv comparisons",
      "topics": [
        "print.compare_baggr_cv"
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    },
    {
      "page": "priors",
      "title": "Prior distributions in baggr",
      "topics": [
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        "lkj",
        "lognormal",
        "multinormal",
        "normal",
        "priors",
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      "page": "random_effects",
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      "topics": [
        "random_effects"
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      "page": "schools",
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      "topics": [
        "schools"
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    },
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      "page": "selection",
      "title": "Relative publication probabilities of a baggr model",
      "topics": [
        "selection"
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    },
    {
      "page": "set_prior_val",
      "title": "Add prior values to Stan input for baggr",
      "topics": [
        "set_prior_val"
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    },
    {
      "page": "single_comp_plot",
      "title": "Plot single comparison ggplot in 'baggr_compare' style",
      "topics": [
        "single_comp_plot"
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    },
    {
      "page": "treatment_effect",
      "title": "Average treatment effects in a baggr model",
      "topics": [
        "hypermean",
        "hypersd",
        "treatment_effect"
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    },
    {
      "page": "vitamin_a",
      "title": "Vitamin A supplementation and child mortality",
      "topics": [
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    {
      "page": "yusuf",
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