# Saving the mcmc options which were used to generate the samples
options <- McmcOptions(burnin=10000,
step=2,
samples=10000)
# Create an object of class 'Samples'
# Here the parameters 'alpha' and 'beta' are randomly generated. Of coure in
# a real example these would come as an output from mcmc procedures
samples <- Samples(data=list(alpha=rnorm(10000),beta=rnorm(10000)),
options=options)
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