The STAN development team just released the first stable version of their Hamiltonian-like MCMC sampler. http://andrewgelman.com/2012/08/a-stan-is-born/
From my reading Hamiltonian MCMC is a much more efficient way of sampling from the posterior than gibbs or metropolis-hastings. It's also super fast: http://andrewgelman.com/2012/08/stan-is-fast/
So can we expect the new StanR compatible book programs shortly? :)
In all seriousness, they put together a really nice pdf showing how to port worked out bugs examples into STAN.
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