qbrms_binomial_regularised

Fits binomial mixed effects models with regularisation, with all parameters handled correctly.

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

qbrms_binomial_regularised function

<dl><dt>formula</dt>
<dd>Model formula with mixed effects structure.</dd>
<dt>data</dt>
<dd>Data frame containing the variables.</dd>
<dt>regularise</dt>
<dd>Logical; if TRUE, apply regularisation techniques.</dd>
<dt>sample_prior</dt>
<dd>Whether to sample from priors ("no", "yes", "only"). Default: "no".</dd>
<dt>verbose</dt>
<dd>Logical; print progress information.</dd>
<dt>...</dt>
<dd>Additional arguments passed to qbrms().</dd></dl>

Arguments

Fixed Regularised Binomial Mixed Effects Fitting — qbrms_binomial_regularised

<dl>

<dt>formula</dt>
<dd>Model formula with mixed effects structure.</dd>


<dt>data</dt>
<dd>Data frame containing the variables.</dd>


<dt>regularise</dt>
<dd>Logical; if TRUE, apply regularisation techniques.</dd>


<dt>sample_prior</dt>
<dd>Whether to sample from priors ("no", "yes", "only"). Default: "no".</dd>


<dt>verbose</dt>
<dd>Logical; print progress information.</dd>


<dt>...</dt>
<dd>Additional arguments passed to qbrms().</dd>

</dl>

qbrms_binomial_regularised: Fixed Regularised Binomial Mixed Effects Fitting

Description

Usage

Value

Arguments