Nothing
library(bhrcr)
data(pursat)
data(pursat_covariates)
data(posterior)
# The following takes a long time, so we calculated it ahead of time
# and saved it as a data set.
# posterior <- clearanceEstimatorBayes(data = pursat, covariates = pursat_covariates, seed = 1234,
# detect.limit = 15, niteration = 25500, burnin = 500, thin = 100)
summary(posterior)
print(posterior)
# diagnostic plots of the Bayesian analysis
diagnostics(posterior)
# plot patients' profiles
plot(posterior)
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