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

In stla/brr: Bayesian Inference on the Ratio of Two Poisson Rates

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)

Stéphane 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.

stla/brr documentation built on May 30, 2019, 5:46 p.m.