Write statistical models in R and fit them by MCMC on CPUs and GPUs, using Google TensorFlow (see <https://greta-dev.github.io/greta> for more information).
Version: | 0.3.0 |
Depends: | R (≥ 3.0) |
Imports: | R6, tensorflow, reticulate, progress (≥ 1.2.0), future, coda, methods |
Suggests: | knitr, rmarkdown, DiagrammeR, bayesplot, lattice, testthat, mvtnorm, MCMCpack, rmutil, extraDistr, truncdist, tidyverse, fields, MASS, abind |
Published: | 2018-10-30 |
Author: | Nick Golding |
Maintainer: | Nick Golding <nick.golding.research at gmail.com> |
BugReports: | https://github.com/greta-dev/greta/issues |
License: | Apache License 2.0 |
URL: | https://github.com/greta-dev/greta |
NeedsCompilation: | no |
SystemRequirements: | Python (>= 2.7.0) with header files and shared library; TensorFlow (>= 1.10; https://www.tensorflow.org/); Tensorflow Probability (>=0.3.0; https://www.tensorflow.org/probability/) |
Materials: | NEWS |
CRAN checks: | greta results |
Reference manual: | greta.pdf |
Vignettes: |
Example models Get started with greta |
Package source: | greta_0.3.0.tar.gz |
Windows binaries: | r-devel: greta_0.3.0.zip, r-release: greta_0.3.0.zip, r-oldrel: greta_0.3.0.zip |
OS X binaries: | r-release: greta_0.3.0.tgz, r-oldrel: greta_0.3.0.tgz |
Old sources: | greta archive |
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