View source: R/posterior_predict.R
posterior_predict.rater_fit | R Documentation |
Draw from the posterior predictive distribution
## S3 method for class 'rater_fit'
posterior_predict(object, new_data, seed = NULL, ...)
object |
A |
new_data |
New data for the model to be fit to. The must be in the form
used in |
seed |
An optional random seed to use. |
... |
Other arguments. |
The number of raters implied by the entries in the rater column must match the number of raters in the fitted model.
The passed new_data
augmented with a column 'z' containing the
latent class of each item and 'rating' containing the simulated rating.
fit <- rater(anesthesia, "dawid_skene", verbose = FALSE)
new_data <- data.frame(item = rep(1:2, each = 5), rater = rep(1:5, 2))
predictions <- posterior_predict(fit, new_data)
predictions
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