Hi, yes but I realized afterwards that it's the logfun argument that had to
be put to logfun=F and the logpriorfun function had to be log=F
logpriorfun <- function(beta,shape1,shape2){
sum(dbeta(beta,shape1,shape2,log=F)) }
But that's just for that particular example. I find I am having problems
still even after adjusting for that. Using other data it is not accepting
the estimation of beta.start with maximum likelihood
("user.prior.density(beta.start) <= 0") and it is obliging me to specify it
giving me a very narrow range, and hence the acceptance rate of the output
is very mediocre (0.01)... I don't know I am missing something here maybe.
As much as I was excited about the MCMCpack, I am finding that it is no
substitute for BUGS/Brugs.
Cody_Hamilton wrote:
>
> Dear Franco,
>
> Have you tried using the beta.start option in MCMClogit? (The problem may
> be where you are starting your chain.)
>
> Regards,
> -Cody
>
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