conditional_effects.tmb_ordinal_qbrms_fit

Conditional Effects 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

conditional_effects.tmb_ordinal_qbrms_fit function

<dl><dt>object</dt>
<dd>A tmb_ordinal_qbrms_fit object</dd>
<dt>effects</dt>
<dd>Character vector of effect names (defaults to auto-detected)</dd>
<dt>prob</dt>
<dd>Confidence level</dd>
<dt>ndraws</dt>
<dd>Number of draws</dd>
<dt>spaghetti</dt>
<dd>Logical</dd>
<dt>n_points</dt>
<dd>Number of points for continuous predictors</dd>
<dt>plot</dt>
<dd>Logical, whether to return plots</dd>
<dt>at</dt>
<dd>Named list of conditioning values</dd>
<dt>seed</dt>
<dd>Random seed</dd>
<dt>conditions</dt>
<dd>Ordinal-specific conditions (for backwards compatibility)</dd>
<dt>categorical</dt>
<dd>Whether to show categorical plot (for backwards compatibility)</dd>
<dt>resolution</dt>
<dd>Grid resolution (for backwards compatibility)</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Conditional Effects for TMB Ordinal Models — conditional_effects.tmb_ordinal_qbrms_fit

<dl>

<dt>object</dt>
<dd>A tmb_ordinal_qbrms_fit object</dd>


<dt>effects</dt>
<dd>Character vector of effect names (defaults to auto-detected)</dd>


<dt>prob</dt>
<dd>Confidence level</dd>


<dt>ndraws</dt>
<dd>Number of draws</dd>


<dt>spaghetti</dt>
<dd>Logical</dd>


<dt>n_points</dt>
<dd>Number of points for continuous predictors</dd>


<dt>plot</dt>
<dd>Logical, whether to return plots</dd>


<dt>at</dt>
<dd>Named list of conditioning values</dd>


<dt>seed</dt>
<dd>Random seed</dd>


<dt>conditions</dt>
<dd>Ordinal-specific conditions (for backwards compatibility)</dd>


<dt>categorical</dt>
<dd>Whether to show categorical plot (for backwards compatibility)</dd>


<dt>resolution</dt>
<dd>Grid resolution (for backwards compatibility)</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

conditional_effects.tmb_ordinal_qbrms_fit: Conditional Effects for TMB Ordinal Models

Description

Usage

Value

Arguments