| brr-package {brr} | R Documentation |
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.
| Package: | brr |
| Type: | Package |
| Version: | 1.0.0 |
| Date: | 2015-09-07 |
| License: | GPL-2 |
Stéphane Laurent
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.