pp_check.tmb_ordinal_qbrms_fit

Posterior predictive checks for TMB ordinal 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.tmb_ordinal_qbrms_fit function

<dl><dt>object</dt>
<dd>A fitted TMB ordinal qbrms model object</dd>
<dt>type</dt>
<dd>Character; type of posterior predictive check</dd>
<dt>ndraws</dt>
<dd>Integer; number of posterior draws to use</dd>
<dt>seed</dt>
<dd>Random seed for reproducibility.</dd>
<dt>newdata</dt>
<dd>Optional data frame for predictions. If NULL, uses original data.</dd>
<dt>prob</dt>
<dd>Probability mass for credible intervals (default 0.95).</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd></dl>

Arguments

Posterior predictive checks for TMB ordinal models — pp_check.tmb_ordinal_qbrms_fit

<dl>

<dt>object</dt>
<dd>A fitted TMB ordinal qbrms model object</dd>


<dt>type</dt>
<dd>Character; type of posterior predictive check</dd>


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


<dt>seed</dt>
<dd>Random seed for reproducibility.</dd>


<dt>newdata</dt>
<dd>Optional data frame for predictions. If NULL, uses original data.</dd>


<dt>prob</dt>
<dd>Probability mass for credible intervals (default 0.95).</dd>


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

</dl>

pp_check.tmb_ordinal_qbrms_fit: Posterior predictive checks for TMB ordinal models

Description

Usage

Value

Arguments