Description Details Author(s) References

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 |

St<c3><a9>phane 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.

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

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