brms: Bayesian Regression Models using Stan

Fit Bayesian generalized (non-)linear mixed models using Stan for full Bayesian inference.

Version: 0.10.0
Depends: R (≥ 3.2.0), rstan (≥ 2.10.1), ggplot2 (≥ 2.0.0), methods
Imports: loo (≥ 0.1.6), shinystan (≥ 2.2.0), gridExtra (≥ 2.0.0), lme4 (≥ 1.1-11), Matrix (≥ 1.1.1), mgcv (≥ 1.7-23), coda, abind, statmod, stats, graphics, utils, parallel, grDevices, grid
Suggests: testthat (≥ 0.9.1), arm, mvtnorm, KernSmooth, R.rsp, knitr, rmarkdown
Published: 2016-06-29
Author: Paul-Christian Buerkner [aut, cre]
Maintainer: Paul-Christian Buerkner <paul.buerkner at gmail.com>
BugReports: http://github.com/paul-buerkner/brms/issues
License: GPL (≥ 3)
URL: http://github.com/paul-buerkner/brms
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: brms results

Downloads:

Reference manual: brms.pdf
Vignettes: Parameterizations of families in brms
brms
Package source: brms_0.10.0.tar.gz
Windows binaries: r-devel: brms_0.10.0.zip, r-release: brms_0.10.0.zip, r-oldrel: brms_0.10.0.zip
OS X Mavericks binaries: r-release: brms_0.10.0.tgz, r-oldrel: brms_0.10.0.tgz
Old sources: brms archive