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 |