MRPModel-method-fit

The <code>$fit()</code> method of an <code>MRPModel</code> object fits the model using
Stan's main Markov chain Monte Carlo (MCMC) algorithm. Check out the
<a href="https://mrp-interface.github.io/shinymrp/articles/example#fit">More examples of R6 classes</a>
vignette for usage examples.

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-fit function

<dl><dt>n_iter</dt>
<dd>Number of MCMC iterations per chain (including warmup iterations). Default is 2000.</dd>
<dt>n_chains</dt>
<dd>Number of MCMC chains to run. Default is 4.</dd>
<dt>seed</dt>
<dd>Random seed for reproducibility. Default is <code>NULL</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to CmdStanR <code>$sample()</code> method.</dd></dl>

Arguments

The <code>$fit()</code> method of an <code>MRPModel</code> object fits the model using
Stan's main Markov chain Monte Carlo (MCMC) algorithm. Check out the
<a href='https://mrp-interface.github.io/shinymrp/articles/example#fit'>More examples of R6 classes</a>
vignette for usage examples.

Fit multilevel regression model using cmdstanr — MRPModel-method-fit

<dl>

<dt>n_iter</dt>
<dd>Number of MCMC iterations per chain (including warmup iterations). Default is 2000.</dd>


<dt>n_chains</dt>
<dd>Number of MCMC chains to run. Default is 4.</dd>


<dt>seed</dt>
<dd>Random seed for reproducibility. Default is <code>NULL</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to CmdStanR <code>$sample()</code> method.</dd>

</dl>

MRPModel-method-fit: Fit multilevel regression model using cmdstanr

Description

Usage

Value

Arguments