R2WinBUGS: Running WinBUGS and OpenBUGS from R / S-PLUS

Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R / S-PLUS. In S-PLUS, the openbugs functionality and the windows emulation functionality is not yet available.

Version: 2.1-19
Depends: R (≥ 2.13.0), coda (≥ 0.11-0), boot
Suggests: BRugs (≥ 0.3-2)
Published: 2013-04-07
Author: originally written by Andrew Gelman; changes and packaged by Sibylle Sturtz and Uwe Ligges. With considerable contributions by Gregor Gorjanc and Jouni Kerman. Ported to S-PLUS by Insightful Corp.
Maintainer: Uwe Ligges <ligges at statistik.tu-dortmund.de>
License: GPL-2
URL: http://www.stat.columbia.edu/~gelman/bugsR/
NeedsCompilation: no
SystemRequirements: WinBUGS 1.4
Citation: NA
Materials: NA
In views: Bayesian, gR
CRAN checks: R2WinBUGS results

Downloads:

Reference manual: R2WinBUGS.pdf
Package source: R2WinBUGS_2.1-19.tar.gz
Windows binaries: r-devel: R2WinBUGS_2.1-19.zip, r-release: R2WinBUGS_2.1-19.zip, r-oldrel: R2WinBUGS_2.1-19.zip
OS X Snow Leopard binaries: r-release: R2WinBUGS_2.1-19.tgz, r-oldrel: R2WinBUGS_2.1-19.tgz
OS X Mavericks binaries: r-release: R2WinBUGS_2.1-19.tgz
Old sources: R2WinBUGS archive

Reverse dependencies:

Reverse depends: bisoreg, iBUGS
Reverse imports: mi, R2jags, spikeSlabGAM
Reverse suggests: AICcmodavg, bcrm, classify, dclone, emdbook, gemtc, mcmcplots, MethComp
Reverse enhances: glmmBUGS