rope_analysis

Compute the posterior mass inside a Region Of Practical Equivalence (ROPE)
for selected parameters.

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

rope_analysis function

<dl><dt>object</dt>
<dd>A <code>qbrms_fit</code>.</dd>
<dt>parameters</dt>
<dd>Optional character vector of parameter names. If <code>NULL</code>,
all fixed-effect coefficients are used.</dd>
<dt>rope</dt>
<dd>Numeric length-2 vector <code>c(lower, upper)</code>.</dd>
<dt>nsim</dt>
<dd>Number of posterior draws to simulate.</dd></dl>

Arguments

ROPE analysis — rope_analysis

<dl>

<dt>object</dt>
<dd>A <code>qbrms_fit</code>.</dd>


<dt>parameters</dt>
<dd>Optional character vector of parameter names. If <code>NULL</code>,
all fixed-effect coefficients are used.</dd>


<dt>rope</dt>
<dd>Numeric length-2 vector <code>c(lower, upper)</code>.</dd>


<dt>nsim</dt>
<dd>Number of posterior draws to simulate.</dd>

</dl>

rope_analysis: ROPE analysis

Description

Usage

Value

Arguments