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the BCEA object (which in turn defines the comparison being made, even if you have multiple comparators)
the list (obtained by running the function createInputs) with the simulated values for the model parameters.
For example
library(BCEA)
# Load the example dataset with multiple comparators --- see Baio et al (2017), the BCEA book
data(Smoking)
# Runs BCEA by setting the second intervention as the reference one (and the other 4 acting as comparators)
m=bcea(eff,costs,ref=2)
# Create the list of inputs from the model simulations, stored in the object `smoking`
inp=createInputs(smoking)
# Now run the `info.rank plot`
info.rank(m,inp)
How can I plot info rank plot when we have multiple comparators in the BCEA object.
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