Dear Marcus,
As others have pointed out, RJaCGH uses Reversible Jump MCMC to fit a
non-homogeneous Hidden Markov Model to array CGH data, but it can be used for
other applications too.
It can be easily adapted to homogeneous HMMs and even to mixed models. It also
contains implementations of additional MCMC techniques such as delayed
rejection or coupled parallel chains, so probably it is a good start for
learning RJMCMC.
Hope it helps,
Oscar
On 17/4/11 01:31, "Marcus Vinicius" <mvi...@gmail.com> wrote:
Dear R users,
I´m studying about Bayesian Statistics. In this context, please, anyone have
some basic script of RJMCMC (Reversible Jump Markov chain Monte Carlo) in R
or WinBUGS?
My aim is to learn how to implement this methodology.
Thanks a lot.
Marcus Vinicius
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