print.qbrmb_fit

Nicely formatted one-line summary plus key diagnostics for a <code>qbrmb_fit</code>.
Prints a summary of a regularised binomial qbrms model.

Provides a 'brms'-like interface for fitting Bayesian regression models
using 'INLA' (Integrated Nested Laplace Approximations) and 'TMB' (Template Model Builder).
The package offers faster model fitting while maintaining familiar 'brms' syntax and
output formats. Supports fixed and mixed effects models, multiple probability distributions,
conditional effects plots, and posterior predictive checks with summary methods compatible
with 'brms'. 'TMB' integration provides fast ordinal regression capabilities. Implements
methods adapted from 'emmeans' for marginal means estimation and 'bayestestR' for Bayesian
inference assessment. Methods are based on Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>,
Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, Lenth (2016) <doi:10.18637/jss.v069.i01>,
Bürkner (2017) <doi:10.18637/jss.v080.i01>, Makowski et al. (2019) <doi:10.21105/joss.01541>,
and Kruschke (2014, ISBN:9780124058880).

Tony Myers

qbrms

Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax

print.qbrmb_fit function

<dl><dt>x</dt>
<dd>A <code>qbrmb_fit</code> object.</dd>
<dt>digits</dt>
<dd>Number of decimal places for output (default: 2).</dd>
<dt>...</dt>
<dd>Additional arguments (currently unused).</dd></dl>

Arguments

Print a qbrmb model fit — print.qbrmb_fit

<dl>

<dt>x</dt>
<dd>A <code>qbrmb_fit</code> object.</dd>


<dt>digits</dt>
<dd>Number of decimal places for output (default: 2).</dd>


<dt>...</dt>
<dd>Additional arguments (currently unused).</dd>

</dl>

print.qbrmb_fit: Print a qbrmb model fit

Description

Usage

Value

Arguments