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  "Title": "Tools for Working with Posterior Distributions",
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  "Description": "Provides useful tools for both users and developers of\npackages for fitting Bayesian models or working with output\nfrom Bayesian models. The primary goals of the package are to:\n(a) Efficiently convert between many different useful formats\nof draws (samples) from posterior or prior distributions. (b)\nProvide consistent methods for operations commonly performed on\ndraws, for example, subsetting, binding, or mutating draws. (c)\nProvide various summaries of draws in convenient formats. (d)\nProvide lightweight implementations of state of the art\nposterior inference diagnostics. References: Vehtari et al.\n(2021) <doi:10.1214/20-BA1221>.",
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        "as_draws_rvars.default",
        "as_draws_rvars.draws_array",
        "as_draws_rvars.draws_df",
        "as_draws_rvars.draws_list",
        "as_draws_rvars.draws_matrix",
        "as_draws_rvars.draws_rvars",
        "as_draws_rvars.list",
        "as_draws_rvars.mcmc",
        "as_draws_rvars.mcmc.list",
        "draws_rvars",
        "is_draws_rvars"
      ]
    },
    {
      "page": "draws_summary",
      "title": "Summaries of 'draws' objects",
      "topics": [
        "default_convergence_measures",
        "default_mcse_measures",
        "default_summary_measures",
        "draws_summary",
        "summarise_draws",
        "summarise_draws.draws",
        "summarise_draws.rvar",
        "summarize_draws",
        "summary.draws",
        "summary.rvar"
      ]
    },
    {
      "page": "draws-index",
      "title": "Index 'draws' objects",
      "topics": [
        "chain_ids",
        "draws-index",
        "draw_ids",
        "iteration_ids",
        "nchains",
        "ndraws",
        "niterations"
      ]
    },
    {
      "page": "drop-rvar-method",
      "title": "Drop redundant dimensions",
      "topics": [
        "drop,rvar-method"
      ]
    },
    {
      "page": "entropy",
      "title": "Normalized entropy",
      "topics": [
        "entropy",
        "entropy.default",
        "entropy.rvar"
      ]
    },
    {
      "page": "ess_basic",
      "title": "Basic version of the effective sample size",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "ess_basic",
        "ess_basic.default",
        "ess_basic.rvar"
      ]
    },
    {
      "page": "ess_bulk",
      "title": "Bulk effective sample size (bulk-ESS)",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "ess_bulk",
        "ess_bulk.default",
        "ess_bulk.rvar"
      ]
    },
    {
      "page": "ess_mean",
      "title": "Effective sample size for the mean",
      "topics": [
        "ess_mean",
        "ess_mean.default",
        "ess_mean.rvar"
      ]
    },
    {
      "page": "ess_quantile",
      "title": "Effective sample sizes for quantiles",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "ess_median",
        "ess_quantile",
        "ess_quantile.default",
        "ess_quantile.rvar"
      ]
    },
    {
      "page": "ess_sd",
      "title": "Effective sample size for the standard deviation",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "ess_sd",
        "ess_sd.default",
        "ess_sd.rvar"
      ]
    },
    {
      "page": "ess_tail",
      "title": "Tail effective sample size (tail-ESS)",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "ess_tail",
        "ess_tail.default",
        "ess_tail.rvar"
      ]
    },
    {
      "page": "example_draws",
      "title": "Example 'draws' objects",
      "topics": [
        "example_draws"
      ]
    },
    {
      "page": "extract_list_of_variable_arrays",
      "title": "Extract arrays of multiple variables",
      "concept": [
        "variable extraction methods"
      ],
      "topics": [
        "extract_list_of_variable_arrays",
        "extract_list_of_variable_arrays.default",
        "extract_list_of_variable_arrays.draws"
      ]
    },
    {
      "page": "extract_variable",
      "title": "Extract draws of a single variable",
      "concept": [
        "variable extraction methods"
      ],
      "topics": [
        "extract_variable",
        "extract_variable.default",
        "extract_variable.draws",
        "extract_variable.draws_df",
        "extract_variable.draws_list",
        "extract_variable.draws_rvars"
      ]
    },
    {
      "page": "extract_variable_array",
      "title": "Extract array of a single (possibly indexed) variable",
      "concept": [
        "variable extraction methods"
      ],
      "topics": [
        "extract_variable_array",
        "extract_variable_array.default",
        "extract_variable_array.draws"
      ]
    },
    {
      "page": "extract_variable_matrix",
      "title": "Extract matrix of a single variable",
      "concept": [
        "variable extraction methods"
      ],
      "topics": [
        "extract_variable_matrix",
        "extract_variable_matrix.default",
        "extract_variable_matrix.draws",
        "extract_variable_matrix.draws_df",
        "extract_variable_matrix.draws_list",
        "extract_variable_matrix.draws_rvars"
      ]
    },
    {
      "page": "for_each_draw",
      "title": "Loop over draws",
      "topics": [
        "for_each_draw"
      ]
    },
    {
      "page": "is_rvar",
      "title": "Is 'x' a random variable?",
      "topics": [
        "is_rvar"
      ]
    },
    {
      "page": "is_rvar_factor",
      "title": "Is 'x' a factor random variable?",
      "topics": [
        "is_rvar_factor",
        "is_rvar_ordered"
      ]
    },
    {
      "page": "match",
      "title": "Value Matching",
      "topics": [
        "%in%",
        "match",
        "match.default",
        "match.rvar"
      ]
    },
    {
      "page": "mcse_mean",
      "title": "Monte Carlo standard error for the mean",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "mcse_mean",
        "mcse_mean.default",
        "mcse_mean.rvar"
      ]
    },
    {
      "page": "mcse_quantile",
      "title": "Monte Carlo standard error for quantiles",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "mcse_median",
        "mcse_quantile",
        "mcse_quantile.default",
        "mcse_quantile.rvar"
      ]
    },
    {
      "page": "mcse_sd",
      "title": "Monte Carlo standard error for the standard deviation",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "mcse_sd",
        "mcse_sd.default",
        "mcse_sd.rvar"
      ]
    },
    {
      "page": "merge_chains",
      "title": "Merge chains of 'draws' objects",
      "topics": [
        "merge_chains",
        "merge_chains.draws_array",
        "merge_chains.draws_df",
        "merge_chains.draws_list",
        "merge_chains.draws_matrix",
        "merge_chains.draws_rvars",
        "merge_chains.rvar"
      ]
    },
    {
      "page": "modal_category",
      "title": "Modal category",
      "topics": [
        "modal_category",
        "modal_category.default",
        "modal_category.rvar"
      ]
    },
    {
      "page": "mutate_variables",
      "title": "Mutate variables in 'draws' objects",
      "topics": [
        "mutate_variables",
        "mutate_variables.draws_array",
        "mutate_variables.draws_df",
        "mutate_variables.draws_list",
        "mutate_variables.draws_matrix",
        "mutate_variables.draws_rvars"
      ]
    },
    {
      "page": "order_draws",
      "title": "Order 'draws' objects",
      "topics": [
        "order_draws",
        "order_draws.draws_array",
        "order_draws.draws_df",
        "order_draws.draws_list",
        "order_draws.draws_matrix",
        "order_draws.draws_rvars",
        "order_draws.rvar"
      ]
    },
    {
      "page": "pareto_diags",
      "title": "Pareto smoothing diagnostics",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "pareto_convergence_rate",
        "pareto_convergence_rate.default",
        "pareto_convergence_rate.rvar",
        "pareto_diags",
        "pareto_diags.default",
        "pareto_diags.rvar",
        "pareto_khat_threshold",
        "pareto_khat_threshold.default",
        "pareto_khat_threshold.rvar",
        "pareto_min_ss",
        "pareto_min_ss.default",
        "pareto_min_ss.rvar"
      ]
    },
    {
      "page": "pareto_khat",
      "title": "Pareto khat diagnostic",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "pareto_khat",
        "pareto_khat.default",
        "pareto_khat.rvar"
      ]
    },
    {
      "page": "pareto_pit",
      "title": "Pareto-smoothed probability integral transform",
      "topics": [
        "pareto_pit",
        "pareto_pit.default",
        "pareto_pit.draws_matrix",
        "pareto_pit.rvar"
      ]
    },
    {
      "page": "pareto_smooth",
      "title": "Pareto smoothing",
      "topics": [
        "pareto_smooth",
        "pareto_smooth.default",
        "pareto_smooth.rvar"
      ]
    },
    {
      "page": "pit",
      "title": "Probability integral transform",
      "topics": [
        "pit",
        "pit.default",
        "pit.draws_matrix",
        "pit.rvar"
      ]
    },
    {
      "page": "print.draws_array",
      "title": "Print 'draws_array' objects",
      "topics": [
        "print.draws_array"
      ]
    },
    {
      "page": "print.draws_df",
      "title": "Print 'draws_df' objects",
      "topics": [
        "print.draws_df"
      ]
    },
    {
      "page": "print.draws_list",
      "title": "Print 'draws_list' objects",
      "topics": [
        "print.draws_list"
      ]
    },
    {
      "page": "print.draws_matrix",
      "title": "Print 'draws_matrix' objects",
      "topics": [
        "print.draws_matrix"
      ]
    },
    {
      "page": "print.draws_rvars",
      "title": "Print 'draws_rvars' objects",
      "topics": [
        "print.draws_rvars"
      ]
    },
    {
      "page": "print.draws_summary",
      "title": "Print summaries of 'draws' objects",
      "topics": [
        "print.draws_summary"
      ]
    },
    {
      "page": "print.rvar",
      "title": "Print or format a random variable",
      "topics": [
        "format.rvar",
        "print.rvar",
        "str.rvar"
      ]
    },
    {
      "page": "ps_convergence_rate",
      "title": "Pareto convergence rate",
      "concept": [
        "helper-functions"
      ],
      "topics": [
        "ps_convergence_rate"
      ]
    },
    {
      "page": "ps_khat_threshold",
      "title": "Pareto k-hat threshold",
      "concept": [
        "helper-functions"
      ],
      "topics": [
        "ps_khat_threshold"
      ]
    },
    {
      "page": "ps_min_ss",
      "title": "Pareto-smoothing minimum sample-size",
      "concept": [
        "helper-functions"
      ],
      "topics": [
        "ps_min_ss"
      ]
    },
    {
      "page": "ps_tail",
      "title": "Pareto smooth tail function to Pareto smooth the tail of a vector. Exported for usage in other packages, not by users.",
      "topics": [
        "ps_tail"
      ]
    },
    {
      "page": "ps_tail_length",
      "title": "Pareto tail length",
      "concept": [
        "helper-functions"
      ],
      "topics": [
        "ps_tail_length"
      ]
    },
    {
      "page": "quantile2",
      "title": "Compute Quantiles",
      "topics": [
        "quantile2",
        "quantile2.default",
        "quantile2.rvar"
      ]
    },
    {
      "page": "rdo",
      "title": "Execute expressions of random variables",
      "concept": [
        "rfun"
      ],
      "topics": [
        "rdo"
      ]
    },
    {
      "page": "rename_variables",
      "title": "Rename variables in 'draws' objects",
      "topics": [
        "rename_variables",
        "rename_variables.draws"
      ]
    },
    {
      "page": "repair_draws",
      "title": "Repair indices of 'draws' objects",
      "topics": [
        "repair_draws",
        "repair_draws.draws_array",
        "repair_draws.draws_df",
        "repair_draws.draws_list",
        "repair_draws.draws_matrix",
        "repair_draws.draws_rvars",
        "repair_draws.rvar"
      ]
    },
    {
      "page": "resample_draws",
      "title": "Resample 'draws' objects",
      "topics": [
        "resample_draws",
        "resample_draws.draws",
        "resample_draws.rvar"
      ]
    },
    {
      "page": "reserved_variables",
      "title": "Reserved variables",
      "topics": [
        "reserved_variables",
        "reserved_variables.default",
        "reserved_variables.draws_array",
        "reserved_variables.draws_df",
        "reserved_variables.draws_list",
        "reserved_variables.draws_matrix",
        "reserved_variables.draws_rvars"
      ]
    },
    {
      "page": "rfun",
      "title": "Create functions of random variables",
      "concept": [
        "rfun"
      ],
      "topics": [
        "rfun"
      ]
    },
    {
      "page": "rhat",
      "title": "Rhat convergence diagnostic",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "rhat",
        "rhat.default",
        "rhat.rvar"
      ]
    },
    {
      "page": "rhat_basic",
      "title": "Basic version of the Rhat convergence diagnostic",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "rhat_basic",
        "rhat_basic.default",
        "rhat_basic.rvar"
      ]
    },
    {
      "page": "rhat_nested",
      "title": "Nested Rhat convergence diagnostic",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "rhat_nested",
        "rhat_nested.default",
        "rhat_nested.rvar"
      ]
    },
    {
      "page": "rstar",
      "title": "Calculate R* convergence diagnostic",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "rstar"
      ]
    },
    {
      "page": "rvar",
      "title": "Random variables of arbitrary dimension",
      "topics": [
        "rvar"
      ]
    },
    {
      "page": "rvar_apply",
      "title": "Random variable resulting from a function applied over margins of an array or random variable",
      "topics": [
        "rvar_apply"
      ]
    },
    {
      "page": "rvar_factor",
      "title": "Factor random variables of arbitrary dimension",
      "topics": [
        "rvar_factor",
        "rvar_ordered"
      ]
    },
    {
      "page": "rvar_ifelse",
      "title": "Random variable ifelse",
      "topics": [
        "rvar_ifelse"
      ]
    },
    {
      "page": "rvar_is_finite",
      "title": "Special value predicates for random variables",
      "concept": [
        "rvar-summaries"
      ],
      "topics": [
        "rvar_is_finite",
        "rvar_is_infinite",
        "rvar_is_na",
        "rvar_is_nan"
      ]
    },
    {
      "page": "rvar_rng",
      "title": "Create random variables from existing random number generators",
      "concept": [
        "rfun"
      ],
      "topics": [
        "rvar_rng"
      ]
    },
    {
      "page": "rvar-dist",
      "title": "Density, CDF, and quantile functions of random variables",
      "topics": [
        "cdf.rvar",
        "cdf.rvar_factor",
        "cdf.rvar_ordered",
        "density.rvar",
        "density.rvar_factor",
        "quantile.rvar",
        "quantile.rvar_factor",
        "quantile.rvar_ordered",
        "rvar-dist"
      ]
    },
    {
      "page": "rvar-matmult",
      "title": "Matrix multiplication of random variables",
      "topics": [
        "%**%",
        "matrixOps.rvar",
        "rvar-matmult"
      ]
    },
    {
      "page": "rvar-slice",
      "title": "Random variable slicing",
      "topics": [
        "rvar-slice",
        "[.rvar",
        "[<-.rvar",
        "[[.rvar",
        "[[<-.rvar"
      ]
    },
    {
      "page": "rvar-summaries-over-draws",
      "title": "Summaries of random variables within array elements, over draws",
      "concept": [
        "rvar-summaries"
      ],
      "topics": [
        "all.rvar",
        "any.rvar",
        "E",
        "is.finite.rvar",
        "is.infinite.rvar",
        "is.na.rvar",
        "is.nan.rvar",
        "mad",
        "mad.default",
        "mad.rvar",
        "mad.rvar_ordered",
        "max.rvar",
        "mean.rvar",
        "median.rvar",
        "min.rvar",
        "Pr",
        "Pr.default",
        "Pr.logical",
        "Pr.rvar",
        "prod.rvar",
        "range.rvar",
        "rvar-summaries-over-draws",
        "sd",
        "sd.default",
        "sd.rvar",
        "sum.rvar",
        "Summary.rvar",
        "var",
        "var.default",
        "var.rvar",
        "variance.rvar"
      ]
    },
    {
      "page": "rvar-summaries-within-draws",
      "title": "Summaries of random variables over array elements, within draws",
      "concept": [
        "rvar-summaries"
      ],
      "topics": [
        "rvar-summaries-within-draws",
        "rvar_all",
        "rvar_any",
        "rvar_mad",
        "rvar_max",
        "rvar_mean",
        "rvar_median",
        "rvar_min",
        "rvar_prod",
        "rvar_quantile",
        "rvar_range",
        "rvar_sd",
        "rvar_sum",
        "rvar_var"
      ]
    },
    {
      "page": "split_chains",
      "title": "Split Chains",
      "topics": [
        "split_chains"
      ]
    },
    {
      "page": "subset_draws",
      "title": "Subset 'draws' objects",
      "topics": [
        "subset.draws",
        "subset_draws",
        "subset_draws.draws_array",
        "subset_draws.draws_df",
        "subset_draws.draws_list",
        "subset_draws.draws_matrix",
        "subset_draws.draws_rvars",
        "subset_draws.rvar"
      ]
    },
    {
      "page": "thin_draws",
      "title": "Thin 'draws' objects",
      "topics": [
        "thin",
        "thin_draws",
        "thin_draws.draws",
        "thin_draws.rvar"
      ]
    },
    {
      "page": "uniformity_test",
      "title": "Uniformity test for PIT values",
      "topics": [
        "uniformity_test"
      ]
    },
    {
      "page": "variables",
      "title": "Get variable names from 'draws' objects",
      "topics": [
        "nvariables",
        "variables",
        "variables.draws_array",
        "variables.draws_df",
        "variables.draws_list",
        "variables.draws_matrix",
        "variables.draws_rvars"
      ]
    },
    {
      "page": "variables-set",
      "title": "Set variable names in 'draws' objects",
      "topics": [
        "set_variables",
        "variables<-",
        "variables<-.draws_array",
        "variables<-.draws_df",
        "variables<-.draws_list",
        "variables<-.draws_matrix",
        "variables<-.draws_rvars"
      ]
    },
    {
      "page": "weight_draws",
      "title": "Weight 'draws' objects",
      "topics": [
        "weight_draws",
        "weight_draws.draws_array",
        "weight_draws.draws_df",
        "weight_draws.draws_list",
        "weight_draws.draws_matrix",
        "weight_draws.draws_rvars"
      ]
    },
    {
      "page": "weights.draws",
      "title": "Extract Weights from Draws Objects",
      "topics": [
        "weights.draws"
      ]
    }
  ],
  "_pkglogo": "https://github.com/stan-dev/posterior/raw/v1.7.0/man/figures/logo.svg",
  "_readme": "https://github.com/stan-dev/posterior/raw/v1.7.0/README.md",
  "_rundeps": [
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    "backports",
    "checkmate",
    "cli",
    "distributional",
    "generics",
    "glue",
    "lifecycle",
    "magrittr",
    "matrixStats",
    "numDeriv",
    "pillar",
    "pkgconfig",
    "rlang",
    "tensorA",
    "tibble",
    "utf8",
    "vctrs"
  ],
  "_vignettes": [
    {
      "source": "pareto_diagnostics.Rmd",
      "filename": "pareto_diagnostics.html",
      "title": "Pareto-khat diagnostics",
      "author": "Aki Vehtari",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Example",
        "Simulated data",
        "MCMC convergence diagnostics",
        "Pareto-$\\hat{k}$",
        "Pareto smoothing",
        "Minimum sample size required",
        "Convergence rate",
        "Pareto-$\\hat{k}$-threshold",
        "Pareto diagnostics",
        "Discussion",
        "Reference"
      ],
      "created": "2024-06-28 08:52:36",
      "modified": "2024-06-28 08:52:36",
      "commits": 1
    },
    {
      "source": "rvar.Rmd",
      "filename": "rvar.html",
      "title": "rvar: The Random Variable Datatype",
      "author": "Matthew Kay",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "The rvars datatype",
        "rvar_factor and rvar_ordered subtypes",
        "The draws_rvars datatype",
        "Math with rvars",
        "Expectations and summary functions",
        "Constants",
        "Using existing R functions and expressions with rvars",
        "Converting functions with rfun()",
        "Evaluating expressions with rdo()",
        "Evaluating random number generators with rvar_rng()",
        "Broadcasting",
        "Slicing and conditionals",
        "Subsetting rvars by draw: x[<logical rvar>]",
        "Conditionals using rvar_ifelse()",
        "Selecting different elements in each draw: x[[<numeric rvar>]]",
        "Applying functions over rvars",
        "Looping over draws and rvars",
        "Using rvars in data frames and in ggplot2"
      ],
      "created": "2021-03-25 23:40:37",
      "modified": "2023-11-19 09:31:18",
      "commits": 13
    },
    {
      "source": "posterior.Rmd",
      "filename": "posterior.html",
      "title": "The posterior R package",
      "author": "Paul Bürkner, Jonah Gabry, Matthew Kay, and Aki Vehtari",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Example",
        "Draws formats",
        "Available formats",
        "Converting between formats",
        "Converting regular R objects to draws formats",
        "Example: create draws_matrix from a matrix",
        "Example: create draws_matrix from multiple vectors",
        "Manipulating draws objects",
        "Subsetting",
        "Mutating (transformations of variables)",
        "Renaming",
        "Binding",
        "Summaries and diagnostics",
        "summarise_draws() basic usage",
        "Changing column names",
        "Using custom functions",
        "Specifying functions using lambda-like syntax",
        "Other diagnostics",
        "Other methods for working with draws objects",
        "References"
      ],
      "created": "2021-05-22 15:47:22",
      "modified": "2024-06-28 08:52:36",
      "commits": 3
    }
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