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 itâs 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=greta to link to this page.
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