prior_build_from_beliefs

Build priors from elicited beliefs (GLM-aware)

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

prior_build_from_beliefs function

<dl><dt>formula</dt>
<dd>Model formula</dd>
<dt>data</dt>
<dd>Data frame</dd>
<dt>family</dt>
<dd>Model family</dd>
<dt>beliefs</dt>
<dd>List of beliefs about parameters</dd>
<dt>outcome_location</dt>
<dd>Expected outcome location</dd>
<dt>outcome_interval</dt>
<dd>Expected outcome interval</dd>
<dt>outcome_level</dt>
<dd>Confidence level for outcome interval</dd>
<dt>outcome_sd</dt>
<dd>Outcome standard deviation</dd>
<dt>standardise</dt>
<dd>Whether to standardise predictors</dd>
<dt>plausible_range</dt>
<dd>Plausible range for outcomes</dd>
<dt>target_coverage</dt>
<dd>Target coverage probability</dd>
<dt>tune</dt>
<dd>Whether to tune priors</dd>
<dt>seed</dt>
<dd>Random seed</dd></dl>

Arguments

Prior Build from Beliefs — prior_build_from_beliefs

<dl>

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


<dt>data</dt>
<dd>Data frame</dd>


<dt>family</dt>
<dd>Model family</dd>


<dt>beliefs</dt>
<dd>List of beliefs about parameters</dd>


<dt>outcome_location</dt>
<dd>Expected outcome location</dd>


<dt>outcome_interval</dt>
<dd>Expected outcome interval</dd>


<dt>outcome_level</dt>
<dd>Confidence level for outcome interval</dd>


<dt>outcome_sd</dt>
<dd>Outcome standard deviation</dd>


<dt>standardise</dt>
<dd>Whether to standardise predictors</dd>


<dt>plausible_range</dt>
<dd>Plausible range for outcomes</dd>


<dt>target_coverage</dt>
<dd>Target coverage probability</dd>


<dt>tune</dt>
<dd>Whether to tune priors</dd>


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

</dl>

prior_build_from_beliefs: Prior Build from Beliefs

Description

Usage

Value

Arguments