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. This work is discussed at Golding (2019) .


Reference manual

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install.packages("greta")

0.6.0 by Nicholas Tierney, 3 months ago


https://greta-dev.github.io/greta/, https://github.com/greta-dev/greta


Report a bug at https://github.com/greta-dev/greta/issues


Browse source code at https://github.com/cran/greta


Authors: 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]


Documentation:   PDF Manual  


Apache License 2.0 license


Imports abind, callr, cli, coda, future, glue, lifecycle, methods, parallelly, progress, R6, reticulate, rlang, tensorflow, 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, tibble, tidyr, truncdist, withr, rstudioapi

System requirements: 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/)


Depended on by greta.dynamics, greta.gp.

Suggested by runMCMCbtadjust.


See at CRAN