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

In powerbrmsINLA: Bayesian Power Analysis Using 'brms' and 'INLA'

Plot Decision Threshold Contour (Multi-Effect Grid Friendly)

Description

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

Usage

plot_decision_threshold_contour(
  power_results,
  metric = c("direction", "threshold", "rope"),
  p_star_grid = seq(0.5, 0.99, by = 0.01),
  effect_var = NULL,
  facet_by = NULL,
  effect_value = NULL,
  effect_weights = NULL,
  title = NULL,
  subtitle = NULL
)

Arguments

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

Value

ggplot2 object.

powerbrmsINLA documentation built on July 2, 2026, 5:07 p.m.