MRPModel-method-formula

formula

<p>The <code>$formula()</code> method of an <code>MRPModel</code> object
returns the lme4-style formula constructed from the given model specification.
Check out the
<a href="https://mrp-interface.github.io/shinymrp/articles/example#formula">More examples of R6 classes</a>
vignette for usage examples.</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

Jonah Gabry

Yajuan Si

MRPModel-method-formula function

<p>The <code>$formula()</code> method of an <code>MRPModel</code> object
returns the lme4-style formula constructed from the given model specification.
Check out the
<a href='https://mrp-interface.github.io/shinymrp/articles/example#formula'>More examples of R6 classes</a>
vignette for usage examples.</p>

MRPModel-method-formula: Return model formula

Description

Usage

Arguments

Value