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


Reference manual: lmeNBBayes.pdf
Package source: lmeNBBayes_1.2.tar.gz
Windows binaries: r-devel: lmeNBBayes_1.2.zip, r-release: lmeNBBayes_1.2.zip, r-oldrel: lmeNBBayes_1.2.zip
OS X Snow Leopard binaries: r-release: lmeNBBayes_1.2.tgz, r-oldrel: lmeNBBayes_1.2.tgz
OS X Mavericks binaries: r-release: lmeNBBayes_1.2.tgz
Old sources: lmeNBBayes archive

Reverse dependencies:

Reverse depends: lmeNB