Write statistical models in R and fit them by MCMC on CPUs and GPUs, using Google TensorFlow (see <https://goldingn.github.io/greta> for more information).
| Version: | 0.2.0 |
| Depends: | R (≥ 3.0) |
| Imports: | R6, tensorflow, reticulate, progress, coda |
| Suggests: | knitr, rmarkdown, DiagrammeR, bayesplot, lattice, testthat, mvtnorm, MCMCpack, rmutil, extraDistr, truncdist |
| Published: | 2017-06-26 |
| Author: | Nick Golding [aut, cre] |
| Maintainer: | Nick Golding <nick.golding.research at gmail.com> |
| BugReports: | https://github.com/goldingn/greta/issues |
| License: | Apache License 2.0 |
| URL: | https://github.com/goldingn/greta |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 2.7.0) with header files and shared library; TensorFlow (>= 1.0.0; https://www.tensorflow.org/) |
| CRAN checks: | greta results |
| Reference manual: | greta.pdf |
| Vignettes: |
Example models Get started with greta Technical details |
| Package source: | greta_0.2.0.tar.gz |
| Windows binaries: | r-devel: greta_0.2.0.zip, r-release: greta_0.2.0.zip, r-oldrel: greta_0.2.0.zip |
| OS X El Capitan binaries: | r-release: greta_0.2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: greta_0.2.0.tgz |
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