plot_bf_assurance_curve_smooth

Plots the proportion of simulations in which BF10 meets or exceeds a threshold,
grouped by sample size and any effect grid variables.

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_smooth function

<dl><dt>x</dt>
<dd>Engine result (list with $results) or a data.frame with at least
columns <code>n</code>, <code>bf10</code> and any effect columns (e.g., treatment).</dd>
<dt>cutoff</dt>
<dd>Numeric Bayes factor threshold for a "hit" (default 10).</dd>
<dt>effect_filter</dt>
<dd>Optional named list to filter effects,
e.g. <code>list(treatment = 0.6)</code>.</dd></dl>

Arguments

Bayes-factor assurance curve with Wilson CIs (multi-effect grid friendly) — plot_bf_assurance_curve_smooth

<dl>

<dt>x</dt>
<dd>Engine result (list with $results) or a data.frame with at least
columns <code>n</code>, <code>bf10</code> and any effect columns (e.g., treatment).</dd>


<dt>cutoff</dt>
<dd>Numeric Bayes factor threshold for a "hit" (default 10).</dd>


<dt>effect_filter</dt>
<dd>Optional named list to filter effects,
e.g. <code>list(treatment = 0.6)</code>.</dd>

</dl>

plot_bf_assurance_curve_smooth: Bayes-factor assurance curve with Wilson CIs (multi-effect grid friendly)

Description

Usage

Value

Arguments