pairwiseProb: Pairwise probability for differences in preference
In bayespref: Hierarchical Bayesian analysis of ecological count data

Description Usage Arguments Details Value Author(s) Examples

This function calculates the pairwise probability that preference among items differs. It provides the probability that row > column.

1	pairwiseProb(prefres = NULL, burn = 0)

`prefres`	An object returned by `bayesPref`.
`burn`	A value indicating the number of burnin samples discarded.

This function examines the proportion of times a certain preference parameter is ranked over an alternate preference parameter across each post burnin MCMC step. It can be interpreted as a post-hoc test to the results obtained from bayesPref.

A square matrix of pairwise comparisons giving the probability that row > column.

Zachariah Gompert zgompert@uwyo.edu, James A. Fordyce jfordyce@utk.edu

## Not run: 
data(YGGV)
res <- bayesPref(pData=YGGV,mcmcL=1000)
pairwiseProb(prefres=res[[1]],burn=100) #pairwise probability for population 1

## End(Not run)