greta: Simple and Scalable Statistical Modelling in R (original) (raw)
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  [aut], Nicholas Tierney [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 |
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