MRPModel-method-poststratify

poststratify

The <code>$poststratify()</code> method of an <code>MRPModel</code> object
runs Stan's standalone generated quantities and extracts posterior samples
for poststratified estimates. This method is called by the <code>$poststratify()</code>
method of a <code>MRPWorkflow</code> object and does not need to be called directly by users.

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

Jonah Gabry

Yajuan Si

MRPModel-method-poststratify function

<dl><dt>interval</dt>
<dd>Confidence interval (a numeric value between 0 and 1) or
standard deviation (<code>"1sd"</code> or <code>"2sd"</code>) for the estimates (default is 0.95).</dd></dl>

Arguments

Run poststratification to generate population estimates — MRPModel-method-poststratify

<dl>

<dt>interval</dt>
<dd>Confidence interval (a numeric value between 0 and 1) or
standard deviation (<code>"1sd"</code> or <code>"2sd"</code>) for the estimates (default is 0.95).</dd>

</dl>

MRPModel-method-poststratify: Run poststratification to generate population estimates

Description

Usage

Value

Arguments