Dennis Murphy gmail.com> writes:
>
> Hi:
>
> library(sos) # install first if you don't already have it
>
> findFn('reversible jump')
>
> It appears that a good starting point might be the RJaCGH package,
> which is concerned with reversible jump MCMC in CGH arrays. Other
> possiblilit
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 add
Hi:
library(sos) # install first if you don't already have it
findFn('reversible jump')
It appears that a good starting point might be the RJaCGH package,
which is concerned with reversible jump MCMC in CGH arrays. Other
possiblilities may be found in the bim, evdbayes and ape packages.
HT
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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