extract_stan_summary

This function extracts the summary statistics from a fitted Stan model stored within
a <code>x</code> object, formats the parameter names, and rounds values to a specified number
of decimal places. By default, the function includes an intercept term in the summary if
present.

To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).

Dongming Huang

catalytic

Tools for Applying Catalytic Priors in Statistical Modeling

Yitong Wu

Weihao Li

Ministry of Education, Singapore 

extract_stan_summary function

<dl><dt>x</dt>
<dd>A model object generated from <code>catalytic</code> that containing a fitted Stan model.</dd>
<dt>digit</dt>
<dd>An integer specifying the number of decimal places to which the summary
statistics should be rounded. Default is 3.</dd>
<dt>with_intercept</dt>
<dd>A logical value indicating whether the intercept should be included
in the summary. If <code>TRUE</code>, the intercept is labeled and included in the formatted output.
Default is <code>TRUE</code>.</dd></dl>

Arguments

Extract and Format Summary of Stan Model Results — extract_stan_summary

<dl>

<dt>x</dt>
<dd>A model object generated from <code>catalytic</code> that containing a fitted Stan model.</dd>


<dt>digit</dt>
<dd>An integer specifying the number of decimal places to which the summary
statistics should be rounded. Default is 3.</dd>


<dt>with_intercept</dt>
<dd>A logical value indicating whether the intercept should be included
in the summary. If <code>TRUE</code>, the intercept is labeled and included in the formatted output.
Default is <code>TRUE</code>.</dd>

</dl>

extract_stan_summary: Extract and Format Summary of Stan Model Results

Description

Usage

Value

Arguments