conditional_effects.qbrms_fit

Conditional effects for qbrms Gaussian 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

conditional_effects.qbrms_fit function

<dl><dt>object</dt>
<dd>A qbrms fit object (Gaussian).</dd>
<dt>effects</dt>
<dd>Character vector: names of predictors to vary. Supports simple
two-way interactions "num:fac" or "fac:num" where one is numeric and the other factor.</dd>
<dt>spaghetti</dt>
<dd>Logical; if TRUE draw per-draw "spaghetti" lines. If FALSE,
draw a mean line with a credible-interval ribbon.</dd>
<dt>ndraws</dt>
<dd>Number of joint coefficient draws for uncertainty (default 200).</dd>
<dt>n_points</dt>
<dd>Size of the x-grid across the observed range (default 100).</dd>
<dt>at</dt>
<dd>Optional named list of covariate values to hold constant.</dd>
<dt>seed</dt>
<dd>Optional integer seed for reproducibility.</dd>
<dt>prob</dt>
<dd>Interval probability for ribbons (default 0.95).</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Conditional effects for qbrms Gaussian models — conditional_effects.qbrms_fit

<dl>

<dt>object</dt>
<dd>A qbrms fit object (Gaussian).</dd>


<dt>effects</dt>
<dd>Character vector: names of predictors to vary. Supports simple
two-way interactions "num:fac" or "fac:num" where one is numeric and the other factor.</dd>


<dt>spaghetti</dt>
<dd>Logical; if TRUE draw per-draw "spaghetti" lines. If FALSE,
draw a mean line with a credible-interval ribbon.</dd>


<dt>ndraws</dt>
<dd>Number of joint coefficient draws for uncertainty (default 200).</dd>


<dt>n_points</dt>
<dd>Size of the x-grid across the observed range (default 100).</dd>


<dt>at</dt>
<dd>Optional named list of covariate values to hold constant.</dd>


<dt>seed</dt>
<dd>Optional integer seed for reproducibility.</dd>


<dt>prob</dt>
<dd>Interval probability for ribbons (default 0.95).</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

conditional_effects.qbrms_fit: Conditional effects for qbrms Gaussian models

Description

Usage

Value

Arguments