Documentation for the burnin function provides an
  introduction to the concept of burn-in as it relates to Markov chains.
The deburn function discards a number of the first posterior
  samples, as specified by the BurnIn argument. Stationarity is
  not checked, because it is assumed the user has a reason for using the
  deburn function, rather than using the results from the object
  of class demonoid. Therefore, the posterior samples in
  Posterior1 and Posterior2 are identical, as are
  Summary1 and Summary2.