Summarise pibblefit object and print posterior quantiles

Default calculates median, mean, 50% and 95% credible interval

# S3 method for pibblefit
summary(object, pars = NULL, use_names = TRUE,
  as_factor = FALSE, gather_prob = FALSE, ...)

Arguments

object	an object of class pibblefit
pars	character vector (default: c("Eta", "Lambda", "Sigma"))
use_names	should summary replace dimension indices with pibblefit names if names Y and X were named in call to pibble
as_factor	if use_names and as_factor then returns names as factors (useful for maintaining orderings when plotting)
gather_prob	if TRUE then prints quantiles in long format rather than wide (useful for some plotting functions)
...	other expressions to pass to summarise (using name 'val' unquoted is probably what you want)

Examples

if (FALSE) {
fit <- pibble(Y, X)
summary(fit, pars="Eta", median = median(val))

# Some later functions make use of precomputation
fit$summary <- summary(fit)
}