rater_fit object.R/rater_fit_class.R
prior_summary.rater_fit.RdProvide a summary of the priors specified in a rater_fit object.
# S3 method for rater_fit
prior_summary(object, ...)A rater_fit object.
Other arguments.
# \donttest{
# Fit a model using MCMC (the default).
fit <- rater(anesthesia, "dawid_skene", verbose = FALSE)
# Summarise the priors (and model) specified in the fit.
prior_summary(fit)
#> Bayesian Dawid and Skene Model
#>
#> Prior parameters:
#>
#> alpha: default
#> beta: default
# }