plot.getgamma2bin: Plot Method for getgamma2bin Objects

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

Plot Method for getgamma2bin Objects

Description

Displays calibration curves of marginal Go and NoGo probabilities against the threshold grid \gamma for results returned by getgamma2bin.

Usage

## S3 method for class 'getgamma2bin'
plot(
  x,
  title = NULL,
  col_go = "#658D1B",
  col_nogo = "#D91E49",
  base_size = 28,
  ...
)

Arguments

x	An object of class getgamma2bin.
title	A character string for the plot title. Defaults to NULL (no title displayed).
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".
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

The x-axis represents candidate threshold values \gamma \in (0, 1). The y-axis represents the marginal probability:

• Go curve: \Pr(g_{\mathrm{Go}} \ge \gamma) evaluated under the Go-calibration scenario (typically the Null scenario).

• NoGo curve: \Pr(g_{\mathrm{NoGo}} \ge \gamma) evaluated under the NoGo-calibration scenario (typically the Alternative scenario).

Horizontal reference lines are drawn at target_go and target_nogo. Filled circles (geom_point) mark the optimal thresholds (\gamma_{\mathrm{go}},\, \Pr(\mathrm{Go})_{\mathrm{opt}}) and (\gamma_{\mathrm{nogo}},\, \Pr(\mathrm{NoGo})_{\mathrm{opt}}), with their values shown in the legend. If either optimal threshold is NA, the corresponding point is omitted.

Value

Invisibly returns a ggplot object.

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