Summarize Posterior Distributions — urc_posterior

Produces a posterior summary for a fitted JAGS model using MCMCvis::MCMCsummary(). Parameters associated with the log-likelihood are excluded automatically. Additional arguments can be passed directly to MCMCvis::MCMCsummary().

urc_posterior_summary(model, exclude = NULL, ...)

Arguments

model: A fitted JAGS model object returned by R2jags::jags().
exclude: Optional character vector specifying additional parameters to exclude. Exact parameter names or base parameter names can be used. For example, "lambda[1]" excludes only that parameter, while "lambda" excludes all indexed versions of lambda.
...: Additional arguments passed to MCMCvis::MCMCsummary().

Value

A data frame containing posterior summaries.

Examples

if (FALSE) { # \dontrun{
output <- urc_mcmc(x = mydata)

# Posterior summary
urc_posterior_summary(output$models$poisson)

# Exclude additional parameters
urc_posterior_summary(
  output$models$zip,
  exclude = c("pi")
)

# Exclude indexed parameters
urc_posterior_summary(
  output$models$poisson,
  exclude = c("lambda[1]")
)

# Pass additional arguments to MCMCsummary
urc_posterior_summary(
  output$models$poisson,
  Rhat = TRUE,
  n.eff = TRUE
)
} # }