post_summary: Get a tidy summary of a bayesian model

In abnormally-distributed/Bayezilla: Bayesian Models With JAGS and Several Utilities for Data Exploration and Model Evaluation.

Description

Get a detailed summary of your posterior distribution in the tidy data frame format.

Usage

post_summary(x, digits = 2, estimate.method = "both", ess = FALSE,
  cred.level = 0.9, cred.method = "QI", keeppars = NULL,
  droppars = c("ySim", "log_lik", "lp__"), knitr = TRUE,
  type = "markdown", ...)

Arguments

x	the set of posterior samples to be summarized
digits	number of digits to round estimates to. Defaults to 2.
estimate.method	one of "mean" or "median", or "both". If "mean" or "median" the estimate will be in column title "estimate". If "both" (the default) the mean will be the "estimate" column and the median will be in the "median" column.
ess	set to TRUE to include ess
cred.level	the credibility level. defaults to 0.90
cred.method	one of "HDI" (highest density intervals) or "QI" (equal tailed \ quantile intervals).
keeppars	the list of specific variables to keep
droppars	list of parameters to exclude
knitr	if you want to return the summary with knitr's kable function set to TRUE. Default is TRUE.
type	output type for kable. Defaults to "markdown"
...	other arguments to pass to knitr::kable

Value

a tibble or knitr::kable output

Examples

post_summary()

abnormally-distributed/Bayezilla documentation built on Oct. 31, 2019, 1:57 a.m.