id_post_pred: Generic Method for Obtaining Posterior Predictive...

In idealstan: Generalized IRT Ideal Point Models with 'Stan'

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.

idealstan documentation built on July 10, 2019, 5:05 p.m.