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greta: Simple and Scalable Statistical Modelling in R

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: 0.5.0
Depends: R (≥ 4.1.0)
Imports: abind, callr, cli (≥ 3.4.1), coda, future (≥ 1.22.1), glue (≥ 1.5.1), methods, parallelly (≥ 1.29.0), progress (≥ 1.2.0), R6, reticulate (≥ 1.19.0), rlang, tensorflow (== 2.16.0), tools, utils, whisker, yesno
Suggests: bayesplot, covr, cramer, DiagrammeR, dplyr, DiagrammeRsvg, extraDistr, fields, ggplot2, knitr, lattice, MASS, MCMCpack, mockery, mvtnorm, purrr, rmarkdown, rmutil, rsvg, spelling, testthat (≥ 3.1.0), tibble, tidyr, truncdist, withr, rstudioapi
Published: 2024-11-12
DOI: 10.32614/CRAN.package.greta
Author: Nick Golding ORCID iD [aut], Nicholas Tierney ORCID iD [aut, cre], Simon Dirmeier [ctb], Adam Fleischhacker [ctb], Shirin Glander [ctb], Martin Ingram [ctb], Lee Hazel [ctb], Lionel Hertzog [ctb], Tiphaine Martin [ctb], Matt Mulvahill [ctb], Michael Quinn [ctb], David Smith [ctb], Paul Teetor [ctb], Jian Yen [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney at gmail.com>
BugReports: https://github.com/greta-dev/greta/issues
License: Apache License 2.0
URL: https://greta-stats.org, https://github.com/greta-dev/greta
NeedsCompilation: no
SystemRequirements: Python (>= 3.7.0) with header files and shared library; TensorFlow (>= v2.0.0; https://www.tensorflow.org/); TensorFlow Probability (v0.8.0; https://www.tensorflow.org/probability/)
Language: en-US
Citation: greta citation info
Materials: NEWS
In views: Bayesian, MixedModels
CRAN checks: greta results

Documentation:

Reference manual: greta.pdf
Vignettes: Example models (source, R code)
FAQ (source, R code)
Get started with greta (source, R code)
installation (source, R code)

Downloads:

Package source: greta_0.5.0.tar.gz
Windows binaries: r-devel: greta_0.5.0.zip, r-release: greta_0.5.0.zip, r-oldrel: greta_0.5.0.zip
macOS binaries: r-release (arm64): greta_0.5.0.tgz, r-oldrel (arm64): greta_0.5.0.tgz, r-release (x86_64): greta_0.5.0.tgz, r-oldrel (x86_64): greta_0.5.0.tgz
Old sources: greta archive

Reverse dependencies:

Reverse depends: greta.dynamics, greta.gp
Reverse suggests: runMCMCbtadjust

Linking:

Please use the canonical form https://CRAN.R-project.org/package=greta to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.