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 1.0.1 Index]