Simple and 'Scalable' Statistical Modelling in R R package greta version 0.6.0 CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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) <doi:10.21105/joss.01601>. Software 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 Nicholas Tierney <nicholas.tierney@gmail.com> Comprehensive R Archive Network (CRAN) Nick Golding [aut, cph] (ORCID: <https://orcid.org/0000-0001-8916-5570>), Nicholas Tierney [aut, cre] (ORCID: <https://orcid.org/0000-0003-1460-8722>), 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] Apache License 2.0 2026-07-20 application/tgz https://CRAN.R-project.org/package=greta doi:10.32614/CRAN.package.greta en-US