1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
|
\name{logpoissnormal}
\alias{logpoissnormal}
\title{Log posterior with Poisson sampling and normal prior}
\description{
Computes the logarithm of the posterior density of a Poisson log mean
with a normal prior
}
\usage{
logpoissnormal(theta,datapar)
}
\arguments{
\item{theta}{vector of values of the log mean parameter}
\item{datapar}{list with components data, vector of observations, and par, vector of
parameters of the normal prior}
}
\value{
vector of values of the log posterior for all values in theta
}
\author{Jim Albert}
\examples{
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)
}
\keyword{models}
|
