R: Log posterior with Poisson sampling and gamma prior

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 Index]