plot_bf_assurance_curve: Bayes-factor conditional power curve (user-facing wrapper)

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

Bayes-factor conditional power curve (user-facing wrapper)

Description

This is the main function users should call to visualise conditional Bayesian power for the Bayes factor criterion. It is a thin wrapper around plot_bf_assurance_curve_smooth(), so all existing behaviour is preserved.

Usage

plot_bf_assurance_curve(power_results, bf_threshold = 10, effect_filter = NULL)

Arguments

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

Value

A ggplot object.

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