extract_coefs

This function retrieves the coefficients from a <code>x</code> object, formats them
with appropriate names, and rounds each coefficient to the specified number of decimal places.
Optionally, the intercept can be included or excluded from the output.

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_coefs function

<dl><dt>x</dt>
<dd>A model object generated from <code>catalytic</code> that containing model coefficients.</dd>
<dt>digit</dt>
<dd>An integer specifying the number of decimal places for rounding coefficients. Default is 3.</dd></dl>

Arguments

Extract and Format Model Coefficients — extract_coefs

<dl>

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


<dt>digit</dt>
<dd>An integer specifying the number of decimal places for rounding coefficients. Default is 3.</dd>

</dl>

extract_coefs: Extract and Format Model Coefficients

Description

Usage

Value

Arguments