logpoissgamma {LearnBayes} | R Documentation |
Log posterior with Poisson sampling and gamma prior
Description
Computes the logarithm of the posterior density of a Poisson log mean with a gamma prior
Usage
logpoissgamma(theta,datapar)
Arguments
theta |
vector of values of the log mean parameter |
datapar |
list with components data, vector of observations, and par, vector of parameters of the gamma prior |
Value
vector of values of the log posterior for all values in theta
Author(s)
Jim Albert
Examples
data=c(2,4,3,6,1,0,4,3,10,2)
par=c(1,1)
datapar=list(data=data,par=par)
theta=c(-1,0,1,2)
logpoissgamma(theta,datapar)
[Package LearnBayes version 2.15.1 Index]