R: Log posterior of a Bradley Terry random effects model

bradley.terry.post {LearnBayes} | R Documentation

## Log posterior of a Bradley Terry random effects model

### Description

Computes the log posterior density of the talent parameters and the log standard deviation for a Bradley Terry model with normal random effects

### Usage

    bradley.terry.post(theta,data)

### Arguments

`theta` | vector of talent parameters and log standard deviation
`data` | data matrix with columns team1, team2, wins by team1, and wins by team2

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    data(baseball.1964)
    team.strengths=rep(0,10)
    log.sigma=0
    bradley.terry.post(c(team.strengths,log.sigma),baseball.1964)

[Package LearnBayes version 2.15 Index]