Reference

All functions
anesthesia	Anaesthetist ratings for patient suitability for surgery
as_mcmc.list()	Convert a rater_fit object to a coda mcmc.list object.
caries	Dentist ratings of whether caries are healthy or not based on X-rays
class_probabilities()	Extract latent class probabilities from a rater fit object
get_stanfit()	Get the underlying stanfit object from a rater_fit object.
loo(<rater_fit>)	Compute the PSIS LOO CV - a measure of model fit - of a rater fit object.
make_complete_rating_design_sim_data()	Produce simulation data from a 'complete' rating design
make_theta()	Make a theta parameter
mcmc_diagnostics()	Retrieve MCMC convergence diagnostics for a rater fit
dawid_skene() hier_dawid_skene() class_conditional_dawid_skene()	Probabilistic models of repeated categorical rating
plot(<rater_fit>)	Plot a rater_fit object
point_estimate()	Extract point estimates of parameters from a fit object
posterior_interval(<mcmc_fit>)	Extract posterior intervals for parameters of the model
posterior_interval(<optim_fit>)	Extract posterior intervals for parameters of the model
posterior_predict(<rater_fit>)	Draw from the posterior predictive distribution
posterior_samples()	Extract posterior samples from a rater fit object
print(<mcmc_fit>)	Print a mcmc_fit object
print(<optim_fit>)	Print a optim_fit object
print(<rater_model>)	Print a rater_model object.
prior_summary(<rater_fit>)	Provide a summary of the priors specified in a rater_fit object.
rater-package	The 'rater' package.
rater()	Fit statistical models to repeated categorical rating data using Stan
simulate_dawid_skene_model()	Simulate data from the Dawid-Skene model
simulate_hier_dawid_skene_model()	Simulate data from the hierarchical Dawid-Skene model
summary(<mcmc_fit>)	Summarise a mcmc_fit object
summary(<optim_fit>)	Summarise an optim_fit object
summary(<rater_model>)	Summarise a rater_model.
waic(<rater_fit>)	Compute the WAIC - a measure of model fit - of a rater fit object.
wide_to_long()	Convert wide data to the long format