MRPModel-method-ppc

<p>The <code>$ppc()</code> method of an <code>MRPModel</code> object
runs Stan's standalone generated quantities
to draw from the posterior predictive distribution. This method is called
by the <code>$pp_check()</code> method of a <code>MRPWorkflow</code> object and does
not need to be called directly by users.</p>

Dual interfaces, graphical and programmatic, designed for
intuitive applications of Multilevel Regression and Poststratification (MRP).
Users can apply the method to a variety of datasets, from electronic health records
to sample survey data, through an end-to-end Bayesian data analysis workflow.
The package provides robust tools for data cleaning, exploratory analysis,
flexible model building, and insightful result visualization. For more details, see
Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh>
and Si (2025) <doi:10.1214/24-STS932>.

Toan Tran

shinymrp

Interface for Multilevel Regression and Poststratification

MRPModel-method-ppc: Create input for posterior predictive check

Description

Usage

Arguments

Value