brms: Bayesian Regression Models using Stan

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

Version: 1.0.1
Depends: R (≥ 3.2.0), rstan (≥ 2.12.1), ggplot2 (≥ 2.0.0), methods
Imports: loo (≥ 0.1.6), shinystan (≥ 2.2.1), gridExtra (≥ 2.0.0), lme4 (≥ 1.1-11), Matrix (≥ 1.1.1), mgcv (≥ 1.8-13), coda, abind, statmod, stats, CircStats, graphics, utils, parallel, grDevices, grid
Suggests: testthat (≥ 0.9.1), arm, mvtnorm, KernSmooth, R.rsp, knitr, rmarkdown
Published: 2016-09-16
Author: Paul-Christian Buerkner [aut, cre]
Maintainer: Paul-Christian Buerkner <paul.buerkner at gmail.com>
BugReports: https://github.com/paul-buerkner/brms/issues
License: GPL (≥ 3)
URL: https://github.com/paul-buerkner/brms
NeedsCompilation: no
Citation: brms citation info
Materials: README NEWS
CRAN checks: brms results

Downloads:

Reference manual: brms.pdf
Vignettes: Parameterizations of families in brms
brms
Package source: brms_1.0.1.tar.gz
Windows binaries: r-devel: brms_1.0.1.zip, r-release: brms_1.0.1.zip, r-oldrel: brms_1.0.1.zip
OS X Mavericks binaries: r-release: brms_1.0.1.tgz, r-oldrel: brms_1.0.1.tgz
Old sources: brms archive

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