compare_significance

Compare the probability of practical significance for parameters
across multiple qbrms models.

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

compare_significance function

<dl><dt>...</dt>
<dd>qbrms_fit objects to compare</dd>
<dt>parameters</dt>
<dd>Character vector of parameters to compare</dd>
<dt>threshold</dt>
<dd>Threshold specification (same as p_significance)</dd>
<dt>model_names</dt>
<dd>Character vector of model names</dd></dl>

Arguments

Compare Significance Across Multiple Models — compare_significance

<dl>

<dt>...</dt>
<dd>qbrms_fit objects to compare</dd>


<dt>parameters</dt>
<dd>Character vector of parameters to compare</dd>


<dt>threshold</dt>
<dd>Threshold specification (same as p_significance)</dd>


<dt>model_names</dt>
<dd>Character vector of model names</dd>

</dl>

compare_significance: Compare Significance Across Multiple Models

Description

Usage

Value

Arguments