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  "Title": "Tidy Data and 'Geoms' for Bayesian Models",
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  "Authors@R": "c(\nperson(\"Matthew\", \"Kay\", role = c(\"aut\", \"cre\"), email = \"mjskay@northwestern.edu\"),\nperson(\"Timothy\", \"Mastny\", role = \"ctb\", email = \"tim.mastny@gmail.com\")\n)",
  "Maintainer": "Matthew Kay <mjskay@northwestern.edu>",
  "Description": "Compose data for and extract, manipulate, and visualize\nposterior draws from Bayesian models ('JAGS', 'Stan',\n'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data\nformat. Functions are provided to help extract tidy data frames\nof draws from Bayesian models and that generate point summaries\nand intervals in a tidy format. In addition, 'ggplot2' 'geoms'\nand 'stats' are provided for common visualization primitives\nlike points with multiple uncertainty intervals, eye plots\n(intervals plus densities), and fit curves with multiple,\narbitrary uncertainty bands.",
  "License": "GPL (>= 3)",
  "Language": "en-US",
  "BugReports": "https://github.com/mjskay/tidybayes/issues",
  "URL": "https://mjskay.github.io/tidybayes/,\nhttps://github.com/mjskay/tidybayes/",
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  "Repository": "https://mjskay.r-universe.dev",
  "Date/Publication": "2024-09-17 00:07:48 UTC",
  "RemoteUrl": "https://github.com/mjskay/tidybayes",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-15 09:36:09 UTC",
    "User": "root"
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  "Author": "Matthew Kay [aut, cre],\nTimothy Mastny [ctb]",
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    "add_epred_rvars",
    "add_fitted_draws",
    "add_fitted_samples",
    "add_linpred_draws",
    "add_linpred_rvars",
    "add_predicted_draws",
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    "add_predicted_samples",
    "add_residual_draws",
    "apply_prototypes",
    "as_data_list",
    "as_sample_data_frame",
    "as_sample_tibble",
    "axis_titles_bottom_left",
    "combine_chains",
    "compare_levels",
    "compose_data",
    "curve_interval",
    "cut_cdf_qi",
    "data_list",
    "density_bins",
    "dlkjcorr_marginal",
    "dstudent_t",
    "emmeans_comparison",
    "epred_draws",
    "epred_rvars",
    "extract_samples",
    "facet_title_left_horizontal",
    "facet_title_right_horizontal",
    "fitted_draws",
    "fitted_samples",
    "from_broom_names",
    "from_ggmcmc_names",
    "gather_draws",
    "gather_emmeans_draws",
    "gather_emmeans_samples",
    "gather_lsmeans_samples",
    "gather_pairs",
    "gather_rvars",
    "gather_samples",
    "gather_terms",
    "gather_variables",
    "geom_dots",
    "geom_dotsh",
    "geom_dotsinterval",
    "geom_dotsintervalh",
    "geom_eye",
    "geom_eyeh",
    "geom_halfeyeh",
    "geom_interval",
    "geom_intervalh",
    "geom_lineribbon",
    "geom_pointinterval",
    "geom_pointintervalh",
    "geom_slab",
    "geom_slabh",
    "geom_slabinterval",
    "GeomDots",
    "GeomDotsinterval",
    "GeomInterval",
    "GeomIntervalh",
    "GeomLineribbon",
    "GeomPointinterval",
    "GeomPointintervalh",
    "GeomSlab",
    "GeomSlabinterval",
    "get_variables",
    "ggeye",
    "guide_colorbar2",
    "guide_colourbar2",
    "hdci",
    "hdi",
    "histogram_bins",
    "linpred_draws",
    "linpred_rvars",
    "marginalize_lkjcorr",
    "mean_hdci",
    "mean_hdcih",
    "mean_hdi",
    "mean_hdih",
    "mean_qi",
    "mean_qih",
    "median_hdci",
    "median_hdcih",
    "median_hdi",
    "median_hdih",
    "median_qi",
    "median_qih",
    "Mode",
    "mode_hdci",
    "mode_hdcih",
    "mode_hdi",
    "mode_hdih",
    "mode_qi",
    "mode_qih",
    "n_prefix",
    "nest_rvars",
    "parameters",
    "parse_dist",
    "plkjcorr_marginal",
    "point_interval",
    "point_intervalh",
    "predict_curve",
    "predict_curve_density",
    "predicted_draws",
    "predicted_rvars",
    "predicted_samples",
    "pstudent_t",
    "qi",
    "qlkjcorr_marginal",
    "qstudent_t",
    "r_dist_name",
    "recover_types",
    "residual_draws",
    "rlkjcorr_marginal",
    "rstudent_t",
    "sample_draws",
    "scale_interval_alpha_continuous",
    "scale_interval_alpha_discrete",
    "scale_interval_color_continuous",
    "scale_interval_color_discrete",
    "scale_interval_colour_continuous",
    "scale_interval_colour_discrete",
    "scale_interval_linetype_continuous",
    "scale_interval_linetype_discrete",
    "scale_interval_size_continuous",
    "scale_interval_size_discrete",
    "scale_point_alpha_continuous",
    "scale_point_alpha_discrete",
    "scale_point_color_continuous",
    "scale_point_color_discrete",
    "scale_point_colour_continuous",
    "scale_point_colour_discrete",
    "scale_point_fill_continuous",
    "scale_point_fill_discrete",
    "scale_point_size_continuous",
    "scale_point_size_discrete",
    "scale_slab_alpha_continuous",
    "scale_slab_alpha_discrete",
    "scale_slab_color_continuous",
    "scale_slab_color_discrete",
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    "scale_slab_colour_discrete",
    "scale_slab_fill_continuous",
    "scale_slab_fill_discrete",
    "scale_slab_linetype_continuous",
    "scale_slab_linetype_discrete",
    "scale_slab_shape_continuous",
    "scale_slab_shape_discrete",
    "scale_slab_size_continuous",
    "scale_slab_size_discrete",
    "spread_draws",
    "spread_rvars",
    "spread_samples",
    "stat_ccdfinterval",
    "stat_ccdfintervalh",
    "stat_cdfinterval",
    "stat_cdfintervalh",
    "stat_dist_ccdfinterval",
    "stat_dist_ccdfintervalh",
    "stat_dist_cdfinterval",
    "stat_dist_cdfintervalh",
    "stat_dist_dots",
    "stat_dist_dotsh",
    "stat_dist_dotsinterval",
    "stat_dist_dotsintervalh",
    "stat_dist_eye",
    "stat_dist_eyeh",
    "stat_dist_gradientinterval",
    "stat_dist_gradientintervalh",
    "stat_dist_halfeye",
    "stat_dist_halfeyeh",
    "stat_dist_interval",
    "stat_dist_intervalh",
    "stat_dist_lineribbon",
    "stat_dist_pointinterval",
    "stat_dist_pointintervalh",
    "stat_dist_slab",
    "stat_dist_slabh",
    "stat_dist_slabinterval",
    "stat_dots",
    "stat_dotsh",
    "stat_dotsinterval",
    "stat_dotsintervalh",
    "stat_eye",
    "stat_eyeh",
    "stat_gradientinterval",
    "stat_gradientintervalh",
    "stat_halfeye",
    "stat_halfeyeh",
    "stat_histinterval",
    "stat_histintervalh",
    "stat_interval",
    "stat_intervalh",
    "stat_lineribbon",
    "stat_pointinterval",
    "stat_pointintervalh",
    "stat_sample_slabinterval",
    "stat_slab",
    "stat_slabh",
    "stat_slabinterval",
    "StatDistSlabinterval",
    "StatInterval",
    "StatPointinterval",
    "StatSampleSlabinterval",
    "StatSlabinterval",
    "summarise_draws",
    "theme_ggdist",
    "theme_tidybayes",
    "tidy_draws",
    "tidy_samples",
    "to_broom_names",
    "to_ggmcmc_names",
    "ungather_draws",
    "ungather_samples",
    "unnest_rvars",
    "unspread_draws",
    "unspread_samples",
    "x_at_y"
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    {
      "page": "tidybayes-package",
      "title": "Tidy Data and 'Geoms' for Bayesian Models",
      "topics": [
        "tidybayes-package",
        "tidybayes"
      ]
    },
    {
      "page": "add_draws",
      "title": "Add draws to a data frame in tidy format",
      "topics": [
        "add_draws"
      ]
    },
    {
      "page": "add_predicted_draws",
      "title": "Add draws from the posterior fit, predictions, or residuals of a model to a data frame",
      "topics": [
        "add_epred_draws",
        "add_linpred_draws",
        "add_predicted_draws",
        "add_residual_draws",
        "epred_draws",
        "epred_draws.brmsfit",
        "epred_draws.default",
        "epred_draws.stanreg",
        "linpred_draws",
        "linpred_draws.brmsfit",
        "linpred_draws.default",
        "linpred_draws.stanreg",
        "predicted_draws",
        "predicted_draws.brmsfit",
        "predicted_draws.default",
        "predicted_draws.stanreg",
        "residual_draws",
        "residual_draws.brmsfit",
        "residual_draws.default"
      ]
    },
    {
      "page": "add_predicted_rvars",
      "title": "Add 'rvar's for the linear predictor, posterior expectation, posterior predictive, or residuals of a model to a data frame",
      "topics": [
        "add_epred_rvars",
        "add_linpred_rvars",
        "add_predicted_rvars",
        "epred_rvars",
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