Summarise pibblefit object and print posterior quantiles

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

Usage

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

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)

A list