This vignette will demonstrate a simple cost-effectiveness analysis using BCEA using the smoking cessation data set contained in the package.
Load the data.
This study has four interventions.
treats <- c("No intervention", "Self-help", "Individual counselling", "Group counselling")
Setting the reference group (
ref) to Group
counselling and the maximum willingness to pay (
bcea_smoke <- bcea(eff, cost, ref = 4, interventions = treats, Kmax = 500)
We can easily create a grid of the most common plots
Individual plots can be plotting using their own functions.
ceplane.plot(bcea_smoke, comparison = 2, wtp = 250)
ib.plot(bcea_smoke) #> NB: k (wtp) is defined in the interval [0 - 500]
More on this in the other vignettes but you can change the default plotting style, such as follows.