Draw from the posterior predictive distribution of the outcome. See posterior_predict.stanreg() in the rstanarm package for an example.

posterior_predict(object, ...)

## Arguments

object The object to use. Arguments passed to methods. See the methods in the rstanarm package for examples.

## Value

posterior_predict() methods should return a $$D$$ by $$N$$ matrix, where $$D$$ is the number of draws from the posterior predictive distribution and $$N$$ is the number of data points being predicted per draw.

# See help("posterior_predict", package = "rstanarm")