add_decision_overlay

Overlays the output of <code>decide_sample_size()</code> as a step-line
on a contour plot (e.g. from <code>plot_power_contour()</code>).

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'

add_decision_overlay function

<dl><dt>p</dt>
<dd>A ggplot object, typically from <code>plot_power_contour()</code>.</dd>
<dt>decisions</dt>
<dd>A data.frame or tibble returned by
<code>decide_sample_size()</code>, containing at least one effect column
and <code>n_recommended</code>.</dd>
<dt>x_effect</dt>
<dd>Name of the effect column to use on the x-axis.
If <code>NULL</code>, the first column that is not <code>n_recommended</code>
or <code>rationale</code> is used.</dd>
<dt>colour</dt>
<dd>Colour for the overlay line (default "red").</dd></dl>

Arguments

Add sample-size decision overlay to an assurance contour — add_decision_overlay

<dl>

<dt>p</dt>
<dd>A ggplot object, typically from <code>plot_power_contour()</code>.</dd>


<dt>decisions</dt>
<dd>A data.frame or tibble returned by
<code>decide_sample_size()</code>, containing at least one effect column
and <code>n_recommended</code>.</dd>


<dt>x_effect</dt>
<dd>Name of the effect column to use on the x-axis.
If <code>NULL</code>, the first column that is not <code>n_recommended</code>
or <code>rationale</code> is used.</dd>


<dt>colour</dt>
<dd>Colour for the overlay line (default "red").</dd>

</dl>

add_decision_overlay: Add sample-size decision overlay to an assurance contour

Description

Usage

Value

Arguments

Details