Generic Method for Obtaining Posterior Predictive Distribution from Stan Objects

Description

This function is a generic that is used to match the functions used with ppc_bars to calculate the posterior predictive distribution of the data given the model.

Usage

id_post_pred(object, ...)

Arguments

object	A fitted idealstan object
…	All other parameters passed on to the underlying function.

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.