{
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  "Package": "BayesTools",
  "Title": "Tools for Bayesian Analyses",
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  "Description": "Provides tools for conducting Bayesian analyses and\nBayesian model averaging (Kass and Raftery, 1995,\n<doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999,\n<doi:10.1214/ss/1009212519>). The package contains functions\nfor creating a wide range of prior distribution objects, mixing\nposterior samples from 'JAGS' and 'Stan' models, plotting\nposterior distributions, and etc... The tools for working with\nprior distribution span from visualization, generating 'JAGS'\nand 'bridgesampling' syntax to basic functions such as rng,\nquantile, and distribution functions.",
  "Maintainer": "František Bartoš <f.bartos96@gmail.com>",
  "Authors@R": "c( \nperson(\"František\", \"Bartoš\",     role = c(\"aut\", \"cre\"),\nemail   = \"f.bartos96@gmail.com\", comment = c(ORCID = \"0000-0002-0018-5573\"))\n)",
  "URL": "https://fbartos.github.io/BayesTools/",
  "BugReports": "https://github.com/FBartos/BayesTools/issues",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
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  "SystemRequirements": "JAGS >= 4.3.0 (https://mcmc-jags.sourceforge.io/)",
  "RdMacros": "Rdpack",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "jags libicu-dev",
  "Repository": "https://fbartos.r-universe.dev",
  "Date/Publication": "2026-05-29 06:57:45 UTC",
  "RemoteUrl": "https://github.com/fbartos/bayestools",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 09:57:36 UTC",
    "User": "root"
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  "Author": "František Bartoš [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-0018-5573>)",
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  "_exports": [
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    "as_marginal_inference",
    "as_mixed_posteriors",
    "bridgesampling_object",
    "ccdf",
    "cdf",
    "check_bool",
    "check_char",
    "check_int",
    "check_list",
    "check_real",
    "compute_inference",
    "contr.independent",
    "contr.meandif",
    "contr.orthonormal",
    "dmpoint",
    "dpoint",
    "ensemble_diagnostics_empty_table",
    "ensemble_diagnostics_table",
    "ensemble_estimates_empty_table",
    "ensemble_estimates_table",
    "ensemble_inference",
    "ensemble_inference_empty_table",
    "ensemble_inference_table",
    "ensemble_summary_empty_table",
    "ensemble_summary_table",
    "format_BF",
    "format_parameter_names",
    "formula_add_intercept",
    "geom_prior",
    "geom_prior_list",
    "inclusion_BF",
    "interpret",
    "interpret_records",
    "interpret_tables",
    "interpret2",
    "is_prior_bias",
    "is_prior_phacking",
    "is.prior",
    "is.prior.discrete",
    "is.prior.factor",
    "is.prior.independent",
    "is.prior.meandif",
    "is.prior.mixture",
    "is.prior.none",
    "is.prior.orthonormal",
    "is.prior.PEESE",
    "is.prior.PET",
    "is.prior.point",
    "is.prior.simple",
    "is.prior.spike_and_slab",
    "is.prior.treatment",
    "is.prior.vector",
    "is.prior.weightfunction",
    "JAGS_add_priors",
    "JAGS_bridgesampling",
    "JAGS_bridgesampling_posterior",
    "JAGS_check_and_list_autofit_settings",
    "JAGS_check_and_list_fit_settings",
    "JAGS_check_convergence",
    "JAGS_diagnostics",
    "JAGS_diagnostics_autocorrelation",
    "JAGS_diagnostics_density",
    "JAGS_diagnostics_trace",
    "JAGS_estimates_empty_table",
    "JAGS_estimates_table",
    "JAGS_evaluate_formula",
    "JAGS_extend",
    "JAGS_fit",
    "JAGS_formula",
    "JAGS_formula_design",
    "JAGS_get_inits",
    "JAGS_inference_empty_table",
    "JAGS_inference_table",
    "JAGS_marglik_parameters",
    "JAGS_marglik_parameters_formula",
    "JAGS_marglik_priors",
    "JAGS_marglik_priors_formula",
    "JAGS_parameter_names",
    "JAGS_summary_table",
    "JAGS_to_monitor",
    "lines_prior_list",
    "lpdf",
    "marginal_estimates_table",
    "marginal_inference",
    "marginal_posterior",
    "mccdf",
    "mcdf",
    "mdone.sided",
    "mdone.sided_fixed",
    "mdtwo.sided",
    "mdtwo.sided_fixed",
    "mix_posteriors",
    "mlpdf",
    "model_summary_empty_table",
    "model_summary_table",
    "models_inference",
    "mpdf",
    "mpone.sided",
    "mpone.sided_fixed",
    "mptwo.sided",
    "mptwo.sided_fixed",
    "mqone.sided",
    "mqone.sided_fixed",
    "mqtwo.sided",
    "mqtwo.sided_fixed",
    "mquant",
    "pdf",
    "phack_alpha_from_pi_null",
    "phack_backend_constants",
    "phack_pi_null",
    "plot_marginal",
    "plot_models",
    "plot_posterior",
    "plot_prior_list",
    "plot_transformed_prior",
    "pmpoint",
    "ppoint",
    "prior",
    "prior_bias",
    "prior_factor",
    "prior_informed",
    "prior_informed_medicine_names",
    "prior_mixture",
    "prior_none",
    "prior_PEESE",
    "prior_PET",
    "prior_phacking",
    "prior_spike_and_slab",
    "prior_weightfunction",
    "qmpoint",
    "qpoint",
    "quant",
    "remove_column",
    "rmpoint",
    "rng",
    "rone.sided",
    "rone.sided_fixed",
    "rpoint",
    "rtwo.sided",
    "rtwo.sided_fixed",
    "runjags_estimates_empty_table",
    "runjags_estimates_table",
    "runjags_inference_empty_table",
    "runjags_inference_table",
    "Savage_Dickey_BF",
    "sd",
    "selection_backend_spec",
    "stan_estimates_table",
    "transform_factor_samples",
    "transform_meandif_samples",
    "transform_orthonormal_samples",
    "transform_prior_samples",
    "transform_scale_samples",
    "var",
    "weightfunctions_mapping",
    "wf_cumulative",
    "wf_fixed",
    "wf_independent"
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  "_datasets": [
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      "title": "Kitchen Rolls data from Wagenmakers et al. (2015) replication study.",
      "object": "kitchen_rolls",
      "class": [
        "data.frame"
      ],
      "fields": [
        "rotation",
        "mean_NEO"
      ],
      "rows": 102,
      "table": true,
      "tojson": true
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  "_help": [
    {
      "page": "add_column",
      "title": "Adds column to BayesTools table",
      "topics": [
        "add_column"
      ]
    },
    {
      "page": "as_marginal_inference",
      "title": "Model-average marginal posterior distributions and marginal Bayes factors based on BayesTools JAGS model via 'marginal_inference'",
      "topics": [
        "as_marginal_inference"
      ]
    },
    {
      "page": "as_mixed_posteriors",
      "title": "Export BayesTools JAGS model posterior distribution as model-average posterior distributions via 'mix_posteriors'",
      "topics": [
        "as_mixed_posteriors"
      ]
    },
    {
      "page": "BayesTools",
      "title": "BayesTools",
      "topics": [
        "BayesTools-package",
        "BayesTools"
      ]
    },
    {
      "page": "BayesTools_ensemble_tables",
      "title": "Create BayesTools ensemble summary tables",
      "topics": [
        "BayesTools_ensemble_tables",
        "ensemble_diagnostics_empty_table",
        "ensemble_diagnostics_table",
        "ensemble_estimates_empty_table",
        "ensemble_estimates_table",
        "ensemble_inference_empty_table",
        "ensemble_inference_table",
        "ensemble_summary_empty_table",
        "ensemble_summary_table",
        "marginal_estimates_table"
      ]
    },
    {
      "page": "BayesTools_model_tables",
      "title": "Create BayesTools model tables",
      "topics": [
        "BayesTools_model_tables",
        "JAGS_estimates_empty_table",
        "JAGS_estimates_table",
        "JAGS_inference_empty_table",
        "JAGS_inference_table",
        "JAGS_summary_table",
        "model_summary_empty_table",
        "model_summary_table",
        "runjags_estimates_empty_table",
        "runjags_estimates_table",
        "runjags_inference_empty_table",
        "runjags_inference_table",
        "stan_estimates_table"
      ]
    },
    {
      "page": "bridgesampling_object",
      "title": "Create a 'bridgesampling' object",
      "topics": [
        "bridgesampling_object"
      ]
    },
    {
      "page": "check_input",
      "title": "Check input",
      "topics": [
        "check_bool",
        "check_char",
        "check_input",
        "check_int",
        "check_list",
        "check_real"
      ]
    },
    {
      "page": "contr.BayesTools",
      "title": "BayesTools Contrast Matrices",
      "topics": [
        "contr.BayesTools",
        "contr.independent",
        "contr.meandif",
        "contr.orthonormal"
      ]
    },
    {
      "page": "density.prior",
      "title": "Prior density",
      "topics": [
        "density.prior"
      ]
    },
    {
      "page": "ensemble_inference",
      "title": "Compute posterior probabilities and inclusion Bayes factors",
      "topics": [
        "compute_inference",
        "ensemble_inference",
        "models_inference"
      ]
    },
    {
      "page": "format_BF",
      "title": "Format Bayes factor",
      "topics": [
        "format_BF"
      ]
    },
    {
      "page": "formula_add_intercept",
      "title": "Add an Intercept to a Formula",
      "topics": [
        "formula_add_intercept"
      ]
    },
    {
      "page": "geom_prior",
      "title": "Add prior object to a ggplot",
      "topics": [
        "geom_prior"
      ]
    },
    {
      "page": "geom_prior_list",
      "title": "Add list of prior objects to a plot",
      "topics": [
        "geom_prior_list"
      ]
    },
    {
      "page": "inclusion_BF",
      "title": "Compute inclusion Bayes factors",
      "topics": [
        "inclusion_BF"
      ]
    },
    {
      "page": "interpret",
      "title": "Interpret ensemble inference and estimates",
      "topics": [
        "interpret",
        "interpret2"
      ]
    },
    {
      "page": "interpret_records",
      "title": "Normalize structured interpretation sources",
      "topics": [
        "interpret_records",
        "interpret_tables"
      ]
    },
    {
      "page": "is_prior_bias",
      "title": "Reports whether x is a composed publication-bias prior",
      "topics": [
        "is_prior_bias"
      ]
    },
    {
      "page": "is_prior_phacking",
      "title": "Reports whether x is a p-hacking prior",
      "topics": [
        "is_prior_phacking"
      ]
    },
    {
      "page": "is.prior",
      "title": "Reports whether x is a a prior object",
      "topics": [
        "is.prior",
        "is.prior.discrete",
        "is.prior.factor",
        "is.prior.independent",
        "is.prior.meandif",
        "is.prior.mixture",
        "is.prior.none",
        "is.prior.orthonormal",
        "is.prior.PEESE",
        "is.prior.PET",
        "is.prior.point",
        "is.prior.simple",
        "is.prior.spike_and_slab",
        "is.prior.treatment",
        "is.prior.vector",
        "is.prior.weightfunction"
      ]
    },
    {
      "page": "JAGS_add_priors",
      "title": "Add 'JAGS' prior",
      "topics": [
        "JAGS_add_priors"
      ]
    },
    {
      "page": "JAGS_bridgesampling",
      "title": "Compute marginal likelihood of a 'JAGS' model",
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