pp_check

pp_check.qbrms_fit

pp_check.qbrms_prior

Create posterior or prior predictive diagnostic plots for fitted 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

pp_check function

<dl><dt>object</dt>
<dd>A model object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>
<dt>type</dt>
<dd>Character string indicating the check type: one of
<code>"dens_overlay"</code>, <code>"hist"</code>, <code>"scatter"</code>, <code>"scatter_avg"</code>.</dd>
<dt>ndraws</dt>
<dd>Integer number of draws to use.</dd>
<dt>seed</dt>
<dd>Optional RNG seed.</dd>
<dt>show_observed</dt>
<dd>Logical; show observed data where applicable.</dd></dl>

Arguments

Posterior and prior predictive checks — pp_check

<dl>

<dt>object</dt>
<dd>A model object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>


<dt>type</dt>
<dd>Character string indicating the check type: one of
<code>"dens_overlay"</code>, <code>"hist"</code>, <code>"scatter"</code>, <code>"scatter_avg"</code>.</dd>


<dt>ndraws</dt>
<dd>Integer number of draws to use.</dd>


<dt>seed</dt>
<dd>Optional RNG seed.</dd>


<dt>show_observed</dt>
<dd>Logical; show observed data where applicable.</dd>

</dl>

pp_check: Posterior and prior predictive checks

Description

Usage

Arguments