plot_bf_assurance_curve

This is the main function users should call to visualise
Bayes-factor "power" / assurance. It is a thin wrapper
around <code>plot_bf_assurance_curve_smooth()</code>, so all
existing behaviour is preserved.

Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".

Tony Myers

powerbrmsINLA

Bayesian Power Analysis Using 'brms' and 'INLA'

plot_bf_assurance_curve function

<dl><dt>power_results</dt>
<dd>Output from a brms_inla_power* function
(or a data.frame with columns n, bf10 and any effect columns).</dd>
<dt>bf_threshold</dt>
<dd>Numeric Bayes factor cutoff (default 10).</dd>
<dt>effect_filter</dt>
<dd>Optional named list to filter effect-grid
columns, e.g. <code>list(treatment = 0.3)</code>.</dd></dl>

Arguments

Bayes-factor assurance curve (user-facing wrapper) — plot_bf_assurance_curve

<dl>

<dt>power_results</dt>
<dd>Output from a brms_inla_power* function
(or a data.frame with columns n, bf10 and any effect columns).</dd>


<dt>bf_threshold</dt>
<dd>Numeric Bayes factor cutoff (default 10).</dd>


<dt>effect_filter</dt>
<dd>Optional named list to filter effect-grid
columns, e.g. <code>list(treatment = 0.3)</code>.</dd>

</dl>

plot_bf_assurance_curve: Bayes-factor assurance curve (user-facing wrapper)

Description

Usage

Value

Arguments