Description Usage Arguments Value Author(s) Examples
This function defines the options for the MCMC algorithm used in the Monte Carlo maximum likelihood method.
1 | control.mcmc.MCML(n.sim, burnin, thin = 1, h, c1.h = 0.01, c2.h = 1e-04)
|
n.sim |
number of simulations. |
burnin |
length of the burn-in period. |
thin |
only every |
h |
tuning parameter of the proposal distribution; default is |
c1.h |
value of c_{1} used in the adaptive scheme for |
c2.h |
value of c_{2} used in the adaptive scheme for |
A list with processed arguments to be passed to the main function.
Emanuele Giorgi e.giorgi@lancaster.ac.uk
Peter J. Diggle p.diggle@lancaster.ac.uk
1 2 | control.mcmc <- control.mcmc.MCML(n.sim=1000,burnin=100,thin=1,h=0.05)
str(control.mcmc)
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