Make a figure describing the Bayesian decision-making based on a range of lower and upper reference values
bayesian_decision_figure.RdMake a figure describing the Bayesian decision-making based on a range of lower and upper reference values
Usage
bayesian_decision_figure(
n,
lrv,
urv,
one_sided_prob,
sd_single_measure,
sd_scale = c("log", "linear"),
figure_edge = 0.05,
figure_steps = 100,
add_points = NULL
)Arguments
- n
The number of observations (per group)
- lrv, urv
The lower and upper reference values (target for a stop or go decision)
- one_sided_prob
The integrated probability outside of the reference value
- sd_single_measure
The standard deviation of a single measurement in the assessment
- sd_scale
Is the standard deviation on the "log" or "linear" scale
- figure_edge
What integrated probability should be outside of the figure edges?
- figure_steps
How many points should be shown in the figure?
- add_points
Should any specific points be added to the figure?