print.cat_bayes

This function prints a formatted summary of a <code>cat_bayes</code> model object, displaying
key parameters and settings of the fitted model, including the formula,
covariate dimensions, tau (if applicable), family, and algorithm settings,
as well as the coefficients' summary.

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 

print.cat_bayes function

<dl><dt>x</dt>
<dd>An object of class <code>cat_tune</code>, typically resulting from a tuning process, including
<code>cat_glm_bayes</code>, <code>cat_glm_bayes_joint</code>, <code>cat_cox_bayes</code> and <code>cat_cox_bayes_joint</code>.</dd>
<dt>digit</dt>
<dd>An integer indicating the number of decimal places for printing
coefficient estimates. Default is 3.</dd>
<dt>detail</dt>
<dd>A logical value indicating whether to include additional detailed output at the end of the summary.
If <code>TRUE</code>, it will print additional interpretation help.</dd>
<dt>...</dt>
<dd>Additional parameters to pass to other functions.</dd></dl>

Arguments

Print Summary of cat_bayes Model — print.cat_bayes

<dl>

<dt>x</dt>
<dd>An object of class <code>cat_tune</code>, typically resulting from a tuning process, including
<code>cat_glm_bayes</code>, <code>cat_glm_bayes_joint</code>, <code>cat_cox_bayes</code> and <code>cat_cox_bayes_joint</code>.</dd>


<dt>digit</dt>
<dd>An integer indicating the number of decimal places for printing
coefficient estimates. Default is 3.</dd>


<dt>detail</dt>
<dd>A logical value indicating whether to include additional detailed output at the end of the summary.
If <code>TRUE</code>, it will print additional interpretation help.</dd>


<dt>...</dt>
<dd>Additional parameters to pass to other functions.</dd>

</dl>

print.cat_bayes: Print Summary of `cat_bayes` Model

Description

Usage

Value

Arguments

Details