example_model

Return an example <code>MRPModel</code> object with estimation results.

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

example_model function

<dl><dt>is_timevar</dt>
<dd>Logical indicating whether the model is fitted
to time-varying data.</dd></dl>

Arguments

Return example MRPModel object with estimation results. — example_model

<dl>

<dt>is_timevar</dt>
<dd>Logical indicating whether the model is fitted
to time-varying data.</dd>

</dl>

example_model: Return example `MRPModel` object with estimation results.

Description

Usage

Value

Arguments