plot.qbrms_conditional_effects

Plot method for objects returned by <code>conditional_effects</code> and
related helpers. For a single effect, this produces either a spaghetti plot
of draws or a ribbon / slice plot of summary statistics. For multiple effects
it can combine the plots using patchwork if available.

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

plot.qbrms_conditional_effects function

<dl><dt>x</dt>
<dd>An object of class <code>"qbrms_conditional_effects"</code>, typically the
result of <code>conditional_effects</code> or
<code>conditional_effects_slices</code>.</dd>
<dt>...</dt>
<dd>Currently ignored. Included for future extensions and method
compatibility.</dd></dl>

Arguments

Plot conditional effects for qbrms models — plot.qbrms_conditional_effects

<dl>

<dt>x</dt>
<dd>An object of class <code>"qbrms_conditional_effects"</code>, typically the
result of <code>conditional_effects</code> or
<code>conditional_effects_slices</code>.</dd>


<dt>...</dt>
<dd>Currently ignored. Included for future extensions and method
compatibility.</dd>

</dl>

plot.qbrms_conditional_effects: Plot conditional effects for qbrms models

Description

Usage

Value

Arguments