R: Log posterior of mean and precision for Binomial/beta...

betabinexch0 {LearnBayes} | R Documentation

## Log posterior of mean and precision for Binomial/beta exchangeable model

### Description

Computes the log posterior density of mean and precision for a Binomial/beta exchangeable model

### Usage

    betabinexch0(theta,data)

### Arguments

`theta` | vector of parameter values of eta and K
`data` | a matrix with columns y (counts) and n (sample sizes)

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    n=c(20,20,20,20,20)
    y=c(1,4,3,6,10)
    data=cbind(y,n)
    theta=c(.1,10)
    betabinexch0(theta,data)

[Package LearnBayes version 2.15 Index]