Nothing
greta: 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) <doi:10.21105/joss.01601>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | 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] |
| Maintainer | Nicholas Tierney <nicholas.tierney@gmail.com> |
| License | Apache License 2.0 |
| Version | 0.6.0 |
| URL | https://greta-dev.github.io/greta/ https://github.com/greta-dev/greta |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the greta package in your browser
Any scripts or data that you put into this service are public.
