deburn function discards or removes a user-specified number
of burn-in iterations from an object of class
This is an object of class
This argument defaults to
Documentation for the
burnin function provides an
introduction to the concept of burn-in as it relates to Markov chains.
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
demonoid. Therefore, the posterior samples in
Posterior2 are identical, as are
deburn function returns an object of class
Statisticat, LLC. firstname.lastname@example.org
1 2 3
### Assuming the user has Fit which is an object of class demonoid: #library(LaplacesDemon) #Fit2 <- deburn(Fit, BurnIn=100)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.