R: Statistical Models of Repeated Categorical Rating Data

# Statistical Models of Repeated Categorical Rating Data

## Documentation for package ‘rater’ version 1.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

rater-package | The 'rater' package.
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_conditional_dawid_skene | Probabilistic models of repeated categorical rating
class_probabilities | Extract latent class probabilities from a rater fit object
class_probabilities.mcmc_fit | Extract latent class probabilities from a rater fit object
class_probabilities.optim_fit | Extract latent class probabilities from a rater fit object
dawid_skene | Probabilistic models of repeated categorical rating
get_stanfit | Get the underlying 'stanfit' object from a 'rater_fit' object.
hier_dawid_skene | Probabilistic models of repeated categorical rating
loo | Compute the PSIS LOO CV - a measure of model fit - of 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
models | 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 | Extract posterior intervals for parameters of the model
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 | Draw from the posterior predictive distribution
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 | Provide a summary of the priors specified in a 'rater_fit' object.
prior_summary.rater_fit | Provide a summary of the priors specified in a 'rater_fit' object.
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 | Compute the WAIC - a measure of model fit - of a rater fit object.
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