CRAN/E | greta

greta

Simple and Scalable Statistical Modelling in R

Installation

About

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.

Citation greta citation info
greta-stats.org
System requirements Python (>= 2.7.0) with header files and shared library; TensorFlow (v1.14; https://www.tensorflow.org/); TensorFlow Probability (v0.7.0; https://www.tensorflow.org/probability/)
Bug report File report

Key Metrics

Version 0.4.5
R ≥ 3.1.0
Published 2024-03-11 44 days ago
Needs compilation? no
License Apache License 2.0
CRAN checks greta results
Language en-GB

Downloads

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Maintainer

Maintainer

Nicholas Tierney

nicholas.tierney@gmail.com

Authors

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

Material

NEWS
Reference manual
Package source

In Views

Bayesian
MixedModels

Vignettes

Example models
FAQ
Get started with greta

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

greta archive

Depends

R ≥ 3.1.0

Imports

abind
callr
cli ≥ 3.0.0
coda
future ≥ 1.22.1
glue ≥ 1.5.1
methods
parallelly ≥ 1.29.0
progress ≥1.2.0
R6
reticulate ≥ 1.19.0
tensorflow ≥ 2.7.0
yesno

Suggests

bayesplot
covr
cramer
DiagrammeR
DiagrammeRsvg
extraDistr
fields
ggplot2
knitr
lattice
MASS
MCMCpack
mockery
mvtnorm
rmarkdown
rmutil
rsvg
spelling
testthat ≥ 3.1.0
tidyverse
truncdist
withr

Reverse Depends

greta.dynamics
greta.gp

Reverse Suggests

runMCMCbtadjust