Bayes factor against independence using uniform priors

Description

Computes a Bayes factor against independence for a two-way contingency table assuming uniform prior distributions

Usage

ctable(y,a)

Arguments

Value

value of the Bayes factor against independence

Author(s)

Jim Albert

Examples

y=matrix(c(10,4,6,3,6,10),c(2,3))
a=matrix(rep(1,6),c(2,3))
ctable(y,a)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(LearnBayes)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LearnBayes/ctable.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ctable
> ### Title: Bayes factor against independence using uniform priors
> ### Aliases: ctable
> ### Keywords: models
> 
> ### ** Examples
> 
> y=matrix(c(10,4,6,3,6,10),c(2,3))
> a=matrix(rep(1,6),c(2,3))
> ctable(y,a)
[1] 2.288513
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>