pp_check_prior

Generate prior predictive samples for a model defined by <code>formula</code>,
without requiring observed data, and return a ggplot object to visualise
the implied distribution.

internal

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_prior function

<dl><dt>formula</dt>
<dd>Model formula.</dd>
<dt>family</dt>
<dd>Model family (default <code><a href="/link/gaussian()?package=qbrms&version=1.0.1" data-mini-rdoc="qbrms::gaussian()">gaussian()</a></code>).</dd>
<dt>prior</dt>
<dd>Prior specifications (default <code>NULL</code>).</dd>
<dt>n_obs</dt>
<dd>Number of observations to simulate (default <code>100</code>).</dd>
<dt>ndraws</dt>
<dd>Number of prior draws (default <code>100</code>).</dd>
<dt>type</dt>
<dd>Plot type, one of <code>"dens_overlay"</code> or <code>"hist"</code>.</dd>
<dt>seed</dt>
<dd>Optional random seed.</dd>
<dt>predictor_values</dt>
<dd>Named list of fixed predictor values (default <code>NULL</code>).</dd>
<dt>verbose</dt>
<dd>Logical; print progress messages (default <code>TRUE</code>).</dd></dl>

Arguments

Prior Predictive Checks Without Data — pp_check_prior

<dl>

<dt>formula</dt>
<dd>Model formula.</dd>


<dt>family</dt>
<dd>Model family (default <code><a href='https://rdrr.io/r/stats/family.html'>gaussian()</a></code>).</dd>


<dt>prior</dt>
<dd>Prior specifications (default <code>NULL</code>).</dd>


<dt>n_obs</dt>
<dd>Number of observations to simulate (default <code>100</code>).</dd>


<dt>ndraws</dt>
<dd>Number of prior draws (default <code>100</code>).</dd>


<dt>type</dt>
<dd>Plot type, one of <code>"dens_overlay"</code> or <code>"hist"</code>.</dd>


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


<dt>predictor_values</dt>
<dd>Named list of fixed predictor values (default <code>NULL</code>).</dd>


<dt>verbose</dt>
<dd>Logical; print progress messages (default <code>TRUE</code>).</dd>

</dl>

pp_check_prior: Prior Predictive Checks Without Data

Description

Usage

Value

Arguments