This function compares three scales of uniform proposals when the target is a standard normal distribution and the algorithm is a Metropolis-Hastings algorithm. This is an example from the original Hastings' (1970) paper.
hastings(nsim = 10^3)
Number of Metropolis-Hastings steps
The outcome of the function is a graph with nine panels compariing the three uniform proposals in terms of shape, fit and autocorrelation.
Christian P. Robert and George Casella
From Chapter 6 of EnteR Monte Carlo Statistical Methods
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