R: Log posterior of Poisson/gamma exchangeable model

poissgamexch {LearnBayes} | R Documentation

## Log posterior of Poisson/gamma exchangeable model

### Description

Computes the log posterior density of log alpha and log mu for a Poisson/gamma exchangeable model

### Usage

    poissgamexch(theta,datapar)

### Arguments

`theta` | vector of parameter values of log alpha and log mu
`datapar` | list with components data, a matrix with columns e and y, and z0, prior hyperparameter

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    e=c(532,584,672,722,904)
    y=c(0,0,2,1,1)
    data=cbind(e,y)
    theta=c(-4,0)
    z0=.5
    datapar=list(data=data,z0=z0)
    poissgamexch(theta,datapar)

[Package LearnBayes version 2.15 Index]