Type: Package Package: greta Title: Simple and 'Scalable' Statistical Modelling in R Version: 0.6.0.9000 Authors@R: c( person("Nick", "Golding", , "nick.golding.research@gmail.com", role = c("aut", "cph"), comment = c(ORCID = "0000-0001-8916-5570")), person("Nicholas", "Tierney", , "nicholas.tierney@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0003-1460-8722")), person("Simon", "Dirmeier", role = "ctb"), person("Adam", "Fleischhacker", role = "ctb"), person("Shirin", "Glander", role = "ctb"), person("Martin", "Ingram", role = "ctb"), person("Lee", "Hazel", role = "ctb"), person("Lionel", "Hertzog", role = "ctb"), person("Tiphaine", "Martin", role = "ctb"), person("Matt", "Mulvahill", role = "ctb"), person("Michael", "Quinn", role = "ctb"), person("David", "Smith", role = "ctb"), person("Paul", "Teetor", role = "ctb"), person("Jian", "Yen", role = "ctb") ) Description: 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. This work is discussed at Golding (2019) . License: Apache License 2.0 URL: https://greta-dev.github.io/greta/, https://github.com/greta-dev/greta BugReports: https://github.com/greta-dev/greta/issues Depends: R (>= 4.1.0) Imports: abind, callr, cli (>= 3.4.1), coda, future (>= 1.22.1), glue (>= 1.5.1), lifecycle, methods, parallelly (>= 1.29.0), progress (>= 1.2.0), R6, reticulate (>= 1.43.0), 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 VignetteBuilder: knitr Config/testthat/edition: 3 Encoding: UTF-8 Language: en-US Roxygen: list(markdown = TRUE) 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/) Collate: 'package.R' 'utils.R' 'greta_mcmc_list.R' 'tf_functions.R' 'overloaded.R' 'node_class.R' 'node_types.R' 'variable.R' 'probability_distributions.R' 'mixture.R' 'joint.R' 'unknowns_class.R' 'greta_array_class.R' 'as_data.R' 'distribution.R' 'operators.R' 'functions.R' 'transforms.R' 'structures.R' 'extract_replace_combine.R' 'dag_class.R' 'data-deps-tf-tfp.R' 'greta_model_class.R' 'progress_bar.R' 'inference_class.R' 'samplers.R' 'sampler_class.R' 'optimisers.R' 'optimiser_class.R' 'inference.R' 'install_tensorflow.R' 'calculate.R' 'callbacks.R' 'simulate.R' 'chol2symm.R' 'install_greta_deps.R' 'conda_greta_env.R' 'python_backend.R' 'greta_stash.R' 'greta_create_conda_env.R' 'greta_install_miniconda.R' 'greta_install_python_deps.R' 'new_install_process.R' 'reinstallers.R' 'checkers.R' 'test_if_forked_cluster.R' 'testthat-helpers.R' 'write-logfiles.R' 'zzz.R' 'internals.R' 'greta-sitrep.R' LazyData: true Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: libpng-dev python3 Repository: https://greta-dev.r-universe.dev Date/Publication: 2026-07-21 22:26:27 UTC RemoteUrl: https://github.com/greta-dev/greta RemoteRef: HEAD RemoteSha: e403c480de09fe08c9b58127955139530fb49e78 NeedsCompilation: no Packaged: 2026-07-21 23:57:59 UTC; root Author: Nick Golding [aut, cph] (ORCID: ), Nicholas Tierney [aut, cre] (ORCID: ), 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