R: Log posterior of difference and sum of logits in a 2x2 table

logctablepost {LearnBayes} | R Documentation

## Log posterior of difference and sum of logits in a 2x2 table

### Description

Computes the log posterior density for the difference and sum of logits in a 2x2 contingency table for independent binomial samples and uniform prior placed on the logits

### Usage

    logctablepost(theta,data)

### Arguments

`theta` | vector of parameter values "difference of logits" and "sum of logits")
`data` | vector containing number of successes and failures for first sample, and then second sample

### Value

value of the log posterior

### Author(s)

Jim Albert

### Examples

    s1=6; f1=2; s2=3; f2=10
    data=c(s1,f1,s2,f2)
    theta=c(2,4)
    logctablepost(theta,data)

[Package LearnBayes version 2.15 Index]