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.
Usage
hastings(nsim = 10^3)
Arguments
nsim
Number of Metropolis-Hastings steps
Value
The outcome of the function is a graph with nine panels compariing the three
uniform proposals in terms of shape, fit and autocorrelation.
References
From Chapter 6 of EnteR Monte Carlo Statistical Methods