glmmBUGS: Generalised Linear Mixed Models with BUGS and JAGS

Automates running Generalized Linear Mixed Models, including spatial models, with WinBUGS, OpenBUGS and JAGS. Models are specified with formulas, with the package writings model files, arranging unbalanced data in ragged arrays, and creating starting values. The model is re-parameterized, and functions are provided for converting model outputs to the original parameterization.

Version: 2.4.0
Depends: R (≥ 3.0.0)
Imports: abind, methods, MASS, sp, graphics, stats
Suggests: spdep
Enhances: nlme, diseasemapping, geoRglm, R2WinBUGS, R2OpenBUGS, BRugs, R2jags, rjags
Published: 2016-09-22
Author: Patrick Brown, Lutong Zhou
Maintainer: Patrick Brown <patrick.brown at utoronto.ca>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
SystemRequirements: Compiling vignette requires JAGS (http://mcmc-jags.sourceforge.net)
Citation: glmmBUGS citation info
In views: Bayesian, Spatial
CRAN checks: glmmBUGS results

Downloads:

Reference manual: glmmBUGS.pdf
Vignettes: Jags example
Package source: glmmBUGS_2.4.0.tar.gz
Windows binaries: r-devel: glmmBUGS_2.4.0.zip, r-release: glmmBUGS_2.4.0.zip, r-oldrel: glmmBUGS_2.3.zip
OS X Mavericks binaries: r-release: glmmBUGS_2.3.tgz, r-oldrel: glmmBUGS_2.3.tgz
Old sources: glmmBUGS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glmmBUGS to link to this page.