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The deburn function discards or removes a user-specified number
of burn-in iterations from an object of class demonoid.
deburn(x, BurnIn=0)This is an object of class demonoid.
This argument defaults to BurnIn=0, and accepts
an integer that indicates the number of iterations to discard as
burn-in.
The deburn function returns an object of class demonoid.
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.
burnin and
LaplacesDemon.
# NOT RUN {
### Assuming the user has Fit which is an object of class demonoid:
#library(LaplacesDemon)
#Fit2 <- deburn(Fit, BurnIn=100)
# }
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