greta: Simple and Scalable Statistical Modelling in R

Write statistical models in R and fit them by MCMC on CPUs and GPUs, using Google TensorFlow (see <> for more information).

Version: 0.2.3
Depends: R (≥ 3.0)
Imports: R6, tensorflow, reticulate, progress, coda
Suggests: knitr, rmarkdown, DiagrammeR, bayesplot, lattice, testthat, mvtnorm, MCMCpack, rmutil, extraDistr, truncdist
Published: 2018-01-23
Author: Nick Golding [aut, cre]
Maintainer: Nick Golding <nick.golding.research at>
License: Apache License 2.0
NeedsCompilation: no
SystemRequirements: Python (>= 2.7.0) with header files and shared library; TensorFlow (>= 1.0.0;
Materials: NEWS
CRAN checks: greta results


Reference manual: greta.pdf
Vignettes: Example models
Get started with greta
Technical details
Package source: greta_0.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: greta_0.2.3.tgz
OS X Mavericks binaries: r-oldrel: greta_0.2.0.tgz
Old sources: greta archive


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