plot.pbayesdecisionprob1cont: Plot Method for pbayesdecisionprob1cont Objects

In BayesianQDM: Bayesian Quantitative Decision-Making Framework for Binary and Continuous Endpoints

Plot Method for pbayesdecisionprob1cont Objects

Description

Displays an operating characteristics curve of Go/NoGo/Gray decision probabilities against the true treatment effect for continuous endpoint results returned by pbayesdecisionprob1cont.

Usage

## S3 method for class 'pbayesdecisionprob1cont'
plot(
  x,
  title = NULL,
  xlab = NULL,
  col_go = "#658D1B",
  col_nogo = "#D91E49",
  col_gray = "#939597",
  base_size = 28,
  ...
)

Arguments

x	An object of class pbayesdecisionprob1cont.
title	A character string for the plot title. Defaults to NULL (no title displayed).
xlab	A character string or expression for the x-axis label. Defaults to NULL, which auto-generates a label based on design.
col_go	A character string specifying the colour for the Go curve. Default is "#658D1B".
col_nogo	A character string specifying the colour for the NoGo curve. Default is "#D91E49".
col_gray	A character string specifying the colour for the Gray curve. Default is "#939597".
base_size	A positive numeric scalar specifying the base font size (in points) passed to theme_bw(). Default is 28.
...	Further arguments passed to or from other methods (ignored).

Details

For design = 'controlled' or design = 'external', the x-axis represents the treatment-minus-control difference \theta = \mu_t - \bar{\mu}_c, where \bar{\mu}_c is the mean of the supplied mu_c values. For design = 'uncontrolled', the x-axis represents \mu_t directly.

Vertical reference lines are drawn at the decision thresholds:

• When prob = 'posterior': lines at \theta_{TV} and \theta_{MAV} (converted to the x-axis scale).

• When prob = 'predictive': a single line at \theta_{NULL}.

Value

Invisibly returns a ggplot object.

BayesianQDM documentation built on April 22, 2026, 1:09 a.m.