Statistical Models of Repeated Categorical Rating Data
Convert a rater_fit object to a coda mcmc.list object.
Extract latent class probabilities from a rater fit object
Get the underlying stanfit object from a rater_fit object.
Compute the PSIS LOO CV - a measure of model fit - of a rater fit obje...
Produce simulation data from a 'complete' rating design
Make a theta parameter
Retrieve MCMC convergence diagnostics for a rater fit
Probabilistic models of repeated categorical rating
Plot a rater_fit object
Extract point estimates of parameters from a fit object
Extract posterior intervals for parameters of the model
Extract posterior intervals for parameters of the model
Draw from the posterior predictive distribution
Extract posterior samples from a rater fit object
Print a mcmc_fit object
Print a optim_fit object
Print a rater_model object.
Provide a summary of the priors specified in a rater_fit object.
The 'rater' package.
Fit statistical models to repeated categorical rating data using Stan
Objects exported from other packages
Simulate data from the Dawid-Skene model
Simulate data from the hierarchical Dawid-Skene model
Summarise a mcmc_fit object
Summarise an optim_fit object
Summarise a rater_model.
Compute the WAIC - a measure of model fit - of a rater fit object.
Convert wide data to the long format
Fit statistical models based on the Dawid-Skene model - Dawid and Skene (1979) <doi:10.2307/2346806> - to repeated categorical rating data. Full Bayesian inference for these models is supported through the Stan modelling language. 'rater' also allows the user to extract and plot key parameters of these models.
Useful links