Package: elrm
Type: Package
Title: Exact Logistic Regression via MCMC
Version: 1.2.2
Date: 2013-12-05
Depends: R(>= 2.7.2), coda, graphics, stats
Author: David Zamar, Jinko Graham, Brad McNeney
Maintainer: David Zamar <zamar.david@gmail.com>
Description: 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.
License: GPL (>= 2)
URL: http://stat-db.stat.sfu.ca:8080/statgen/research/elrm
Repository: CRAN
Date/Publication: 2013-12-07 00:52:08
Packaged: 2013-12-06 21:00:15 UTC; davidzamar
NeedsCompilation: yes
Built: R 3.1.0; x86_64-apple-darwin10.8.0; 2013-12-07 12:17:06 UTC; unix
Archs: elrm.so.dSYM
