Write statistical models in R and fit them by MCMC and optimisation on CPUs and GPUs, using Google 'TensorFlow'. greta lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the greta forum.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.0) |
| Imports: | R6, tensorflow (≥ 1.13.0), reticulate, progress (≥ 1.2.0), future, coda, methods |
| Suggests: | knitr, rmarkdown, DiagrammeR, bayesplot, lattice, testthat, mvtnorm, MCMCpack, rmutil, extraDistr, truncdist, tidyverse, fields, MASS, abind, spelling |
| Published: | 2019-08-09 |
| Author: | Nick Golding 
[aut, cre],
Simon Dirmeier [ctb],
Adam Fleischhacker [ctb],
Shirin Glander [ctb],
Martin Ingram [ctb],
Lee Hazel [ctb],
Tiphaine Martin [ctb],
Matt Mulvahill [ctb],
Michael Quinn [ctb],
David Smith [ctb],
Paul Teetor [ctb],
Jian Yen [ctb] |
| Maintainer: | Nick Golding <nick.golding.research at gmail.com> |
| BugReports: | https://github.com/greta-dev/greta/issues |
| License: | Apache License 2.0 |
| URL: | https://greta-stats.org |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 2.7.0) with header files and shared library; TensorFlow (v1.14; https://www.tensorflow.org/); TensorFlow Probability (v0.7.0; https://www.tensorflow.org/probability/) |
| Language: | en-GB |
| Materials: | NEWS |
| CRAN checks: | greta results |
| Reference manual: | greta.pdf |
| Vignettes: |
Example models Get started with greta |
| Package source: | greta_0.3.1.tar.gz |
| Windows binaries: | r-devel: greta_0.3.1.zip, r-release: greta_0.3.1.zip, r-oldrel: greta_0.3.1.zip |
| macOS binaries: | r-release: greta_0.3.1.tgz, r-oldrel: greta_0.3.1.tgz |
| Old sources: | greta archive |
| Reverse imports: | causact |
Please use the canonical form https://CRAN.R-project.org/package=greta to link to this page.