## lmeNBBayes: Sample from the posterior of the negative binomial mixed-effect
regression model. The random effect is modeled with DP mixture
of beta distributions

This package contains a Gibbs sampler to sample from the posterior distribution of the negative binomial mixed-effect regression model. For the distribution of subject-specific random intercept, user can choose a beta distribution or an infinite mixture of beta distributions. For the safety monitoring, subject-specific conditional probability indices can be computed. For details, see Kondo,Y., Zhao, Y. and Petkau, J.A. A Flexible Mixed Effect Negative Binomial Regression for Detecting Abrupt Increase in MRI Lesion Counts in Multiple Sclerosis Patients.

Version: |
1.2 |

Published: |
2014-01-24 |

Author: |
Yumi Kondo |

Maintainer: |
Yumi Kondo <y.kondo at stat.ubc.ca> |

License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

NeedsCompilation: |
yes |

CRAN checks: |
lmeNBBayes results |

#### Downloads:

#### Reverse dependencies: