PlotUtilityDiffCI {aihuman} | R Documentation |
Plot utility difference with 95% confidence interval
Description
See Figure S17 for example.
Usage
PlotUtilityDiffCI(res)
Arguments
res |
The second data frame (res.mcmc) generated from |
Value
A ggplot.
Examples
data(synth)
sample_mcmc = AiEvalmcmc(data = synth, n.mcmc = 10)
synth_dmf = sample(0:1, nrow(synth), replace = TRUE) # random dmf recommendation
sample_utility = CalOptimalDecision(data = synth, mcmc.re = sample_mcmc,
c0.ls = seq(0,5,1), c1.ls = seq(0,5,1),
dmf = synth_dmf, size = 1, # adjust the size
include.utility.diff.mcmc = TRUE)
PlotUtilityDiffCI(sample_utility$res.mcmc)
[Package aihuman version 0.1.0 Index]