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Tip revision: 15f9a9eeec34caa6f192474de41d67165f0208f0 authored by Jim Albert on 07 October 2010, 00:00:00 UTC
version 2.12
Tip revision: 15f9a9e
bradley.terry.post.R
bradley.terry.post=function(theta,data)
{
N=dim(data)[1]; M=length(theta)
sigma=exp(theta[M])
logf=function(k)
{
i=data[k,1]; j=data[k,2]
p=exp(theta[i]-theta[j])/(1+exp(theta[i]-theta[j]))
data[k,3]*log(p)+data[k,4]*log(1-p)
}
sum(sapply(1:N,logf))+sum(dnorm(theta[-M],0,sigma,log=TRUE))
}
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