LearnBayes: logctablepost – R documentation

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logctablepost

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)

LearnBayes

Functions for Learning Bayesian Inference

v2.15.1

GPL (>= 2)

Authors