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

In LearnBayes: Functions for Learning Bayesian Inference

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)

Example output

[1] -20.4611

LearnBayes documentation built on May 1, 2019, 7:03 p.m.