id_post_pred: Generic Method for Obtaining Posterior Predictive...

In saudiwin/idealstan: Robust Measurement with 'Stan'

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 bayesplot::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.

saudiwin/idealstan documentation built on April 11, 2025, 4:37 p.m.