Log posterior with Poisson sampling and normal prior
Computes the logarithm of the posterior density of a Poisson log mean with a normal prior
logpoissnormal(theta,datapar)
theta |
vector of values of the log mean parameter |
datapar |
list with components data, vector of observations, and par, vector of parameters of the normal prior |
vector of values of the log posterior for all values in theta
Jim Albert
data=c(2,4,3,6,1,0,4,3,10,2) par=c(0,1) datapar=list(data=data,par=par) theta=c(-1,0,1,2) logpoissnormal(theta,datapar)
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