plot_decision_threshold_contour

Shows assurance as a function of decision threshold p* and one effect grid column, optionally faceted.

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_decision_threshold_contour function

<dl><dt>power_results</dt>
<dd>brms_inla_power list (or two-stage, etc.)</dd>
<dt>metric</dt>
<dd>Which metric: "direction", "threshold", "rope"</dd>
<dt>p_star_grid</dt>
<dd>Numeric vector of decision thresholds (default: 0.5 to 0.99 by 0.01)</dd>
<dt>effect_var</dt>
<dd>Name of effect grid column for y-axis (default: first detected grid column)</dd>
<dt>facet_by</dt>
<dd>Optional effect grid column(s) to facet by</dd>
<dt>effect_value</dt>
<dd>Optional value(s) to filter for effect_var, or named list for multi-filter</dd>
<dt>effect_weights</dt>
<dd>Optional weights for aggregation (named by effect_var values)</dd>
<dt>title, subtitle</dt>
<dd>Optional plot labels.</dd></dl>

Arguments

Plot Decision Threshold Contour (Multi-Effect Grid Friendly) — plot_decision_threshold_contour

<dl>

<dt>power_results</dt>
<dd>brms_inla_power list (or two-stage, etc.)</dd>


<dt>metric</dt>
<dd>Which metric: "direction", "threshold", "rope"</dd>


<dt>p_star_grid</dt>
<dd>Numeric vector of decision thresholds (default: 0.5 to 0.99 by 0.01)</dd>


<dt>effect_var</dt>
<dd>Name of effect grid column for y-axis (default: first detected grid column)</dd>


<dt>facet_by</dt>
<dd>Optional effect grid column(s) to facet by</dd>


<dt>effect_value</dt>
<dd>Optional value(s) to filter for effect_var, or named list for multi-filter</dd>


<dt>effect_weights</dt>
<dd>Optional weights for aggregation (named by effect_var values)</dd>


<dt>title, subtitle</dt>
<dd>Optional plot labels.</dd>

</dl>

plot_decision_threshold_contour: Plot Decision Threshold Contour (Multi-Effect Grid Friendly)

Description

Usage

Value

Arguments