brr-package: Bayesian inference on the ratio of two Poisson rates

Description Details Author(s) References

Description

Implementation of the Bayesian inference for the rate ratio of two independent Poisson samples, using the semi-conjugate family of prior distributions, and a default non-informative prior.

To learn more, start with the vignettes: browseVignettes(package="brr").

If you encounter a bug, or if you have a suggestion to improve the package, please file an issue on the github repo https://github.com/stla/brr.

Details

Package: brr
Type: Package
Version: 1.0.0
Date: 2015-09-07
License: GPL-2

Author(s)

St<c3><a9>phane Laurent

References

S. Laurent, C. Legrand (2012): A Bayesian framework for the ratio of two Poisson rates in the context of vaccine efficacy trials. ESAIM, Probability \& Statistics 16 (2012), 375–398.

S. Laurent (2012): Some Poisson mixtures distributions with a hyperscale parameter. Brazilian Journal of Probability and Statistics 26 (2012), 265–278.

S. Laurent (2012): Intrinsic Bayesian inference on a Poisson rate and on the ratio of two Poisson rates. Journal of Statistical Planning and Inference 142 (2012), 2656–2671.


brr documentation built on May 29, 2017, 3:10 p.m.