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elrm implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference.
Package details 


Author  David Zamar, Jinko Graham, Brad McNeney 
Maintainer  David Zamar <[email protected]> 
License  GPL (>= 2) 
Version  1.2.2 
URL  http://statdb.stat.sfu.ca:8080/statgen/research/elrm 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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