Posterior predictive distribution for clmstan objects

Draws from the posterior predictive distribution. For each posterior sample, a predicted category is sampled from the categorical distribution with the predicted probabilities.

Usage

posterior_predict.clmstan(object, newdata = NULL, ndraws = NULL, ...)

Arguments

object

A clmstan object returned by clm_stan().

newdata

Optional data frame for prediction. If NULL (default), predictions are made for the original training data.

ndraws

Number of posterior draws to use. If NULL (default), all available draws are used.

...

Additional arguments (currently ignored).

Value

An integer matrix of dimension S x N containing predicted categories (1 to K), where S is the number of posterior draws and N is the number of observations.

See also

predict.clmstan(), fitted.clmstan()