Function reference • posterior

Overview Pacakge overview and global options
`posterior-package` `posterior`	Tools for working with posterior (and prior) distributions
Draws objects and formats Create`draws` objects and convert between supported formats
`as_draws()` `is_draws()`	Transform to `draws` objects
`as_draws_array()` `draws_array()` `is_draws_array()`	The `draws_array` format
`as_draws_df()` `draws_df()` `is_draws_df()`	The `draws_df` format
`as_draws_list()` `draws_list()` `is_draws_list()`	The `draws_list` format
`as_draws_matrix()` `draws_matrix()` `is_draws_matrix()`	The `draws_matrix` format
`as_draws_rvars()` `draws_rvars()` `is_draws_rvars()`	The `draws_rvars` format
`print(<draws_array>)`	Print `draws_array` objects
`print(<draws_df>)`	Print `draws_df` objects
`print(<draws_list>)`	Print `draws_list` objects
`print(<draws_matrix>)`	Print `draws_matrix` objects
`print(<draws_rvars>)`	Print `draws_rvars` objects
`print(<draws_summary>)`	Print summaries of `draws` objects
`print(<rvar>)` `format(<rvar>)` `str(<rvar>)`	Print or format a random variable
`variables()` `variables<-`() `iteration_ids()` `chain_ids()` `draw_ids()` `nvariables()` `niterations()` `nchains()` `ndraws()`	Index `draws` objects
`example_draws()`	Example `draws` objects
`reserved_variables()`	Reserved variables
Working with draws objects Functions for modifying `draws` objects and extracting their contents
`bind_draws()`	Bind `draws` objects together
`extract_variable()`	Extract draws of a single variable
`extract_variable_matrix()`	Extract matrix of a single variable
`merge_chains()`	Merge chains of `draws` objects
`mutate_variables()`	Mutate variables in `draws` objects
`set_variables()`	Set variable names in `draws` objects
`order_draws()`	Order `draws` objects
`split_chains()`	Split Chains
`subset_draws()` `subset(<draws>)`	Subset `draws` objects
`rename_variables()`	Rename variables in `draws` objects
`repair_draws()`	Repair indices of `draws` objects
`resample_draws()`	Resample `draws` objects
`thin_draws()`	Thin `draws` objects
`weight_draws()`	Weight `draws` objects
`weights(<draws>)`	Extract Weights from Draws Objects
Summarizing and diagnosing draws objects Compute summary statistics and convergence diagnostics
`summarise_draws()` `summarize_draws()` `summary(<draws>)` `summary(<rvar>)` `default_summary_measures()` `default_convergence_measures()` `default_mcse_measures()`	Summaries of `draws` objects
`diagnostics` `convergence`	List of available convergence diagnostics
`ess_basic()`	Basic version of the effective sample size
`ess_bulk()`	Bulk effective sample size (bulk-ESS)
`ess_mean()`	Effective sample size for the mean
`ess_quantile()` `ess_median()` `ess_mean(<default>)`	Effective sample sizes for quantiles
`ess_sd()`	Effective sample size for the standard deviation
`ess_tail()`	Tail effective sample size (tail-ESS)
`rhat()`	Rhat convergence diagnostic
`rhat_basic()`	Basic version of the Rhat convergence diagnostic
`rhat_nested()`	Nested Rhat convergence diagnostic
`mcse_mean()`	Monte Carlo standard error for the mean
`mcse_quantile()` `mcse_median()`	Monte Carlo standard error for quantiles
`mcse_sd()`	Monte Carlo standard error for the standard deviation
`quantile2()`	Compute Quantiles
`rstar()`	Calculate R* convergence diagnostic
`entropy()`	Normalized entropy
`dissent()`	Dissention
`modal_category()`	Modal category
`pareto_diags()`	Pareto smoothing diagnostics
`pareto_khat()`	Pareto khat diagnostic
`pareto_smooth()`	Pareto smoothing
Functionality specific to the rvar datatype The `draws_rvar` format (a structured list of `rvar` objects) has the same methods (e.g. `bind_draws()`) as the other draws formats. For individual `rvar` objects themselves, however, posterior provides additional functionality.
`chol(<rvar>)`	Cholesky decomposition of random matrix
`density(<rvar>)` `density(<rvar_factor>)` `cdf(<rvar>)` `cdf(<rvar_factor>)` `cdf(<rvar_ordered>)` `quantile(<rvar>)` `quantile(<rvar_factor>)` `quantile(<rvar_ordered>)`	Density, CDF, and quantile functions of random variables
`%**%`	Matrix multiplication of random variables
`[[`(<rvar>) `[[<-`(<rvar>) `[`(<rvar>) `[<-`(<rvar>)	Random variable slicing
`E()` `mean(<rvar>)` `Pr()` `median(<rvar>)` `min(<rvar>)` `max(<rvar>)` `sum(<rvar>)` `prod(<rvar>)` `all(<rvar>)` `any(<rvar>)` `Summary(<rvar>)` `variance(<rvar>)` `var()` `sd()` `mad()` `range(<rvar>)` `is.finite(<rvar>)` `is.infinite(<rvar>)` `is.nan(<rvar>)` `is.na(<rvar>)`	Summaries of random variables within array elements, over draws
`rvar_mean()` `rvar_median()` `rvar_sum()` `rvar_prod()` `rvar_min()` `rvar_max()` `rvar_sd()` `rvar_var()` `rvar_mad()` `rvar_range()` `rvar_quantile()` `rvar_all()` `rvar_any()`	Summaries of random variables over array elements, within draws
`rvar()`	Random variables of arbitrary dimension
`rvar_apply()`	Random variable resulting from a function applied over margins of an array or random variable
`rvar_factor()` `rvar_ordered()`	Factor random variables of arbitrary dimension
`rvar_ifelse()`	Random variable ifelse
`rvar_is_finite()` `rvar_is_infinite()` `rvar_is_nan()` `rvar_is_na()`	Special value predicates for random variables
`rvar_rng()`	Create random variables from existing random number generators
`is_rvar()`	Is `x` a random variable?
`is_rvar_factor()` `is_rvar_ordered()`	Is `x` a factor random variable?
`as_rvar()` `as_rvar_numeric()` `as_rvar_integer()` `as_rvar_logical()`	Coerce to a random variable
`as_rvar_factor()` `as_rvar_ordered()`	Coerce to a factor random variable
`rdo()`	Execute expressions of random variables
`rfun()`	Create functions of random variables
`draws_of()` `draws_of<-`()	Get/set array of draws underlying a random variable
`diag(<rvar>)`	Matrix diagonals (including for random variables)
`drop(<rvar>)`	Drop redundant dimensions
`for_each_draw()`	Loop over draws
`match()` `%in%`	Value Matching

Reference

Overview

Draws objects and formats

Working with draws objects

Summarizing and diagnosing draws objects

Functionality specific to the rvar datatype