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brr (version 1.0.0)

brr-package: 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.

Arguments

Details

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

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.