greta
The facts below are what the maker publishes about greta, checked and dated. Our editors have not written about it yet.
The facts
Each one read from greta's own pages, with the date it was checked.
What it does
- Alternative dependency setup
- The maker documents using a conda environment when needed, including for offline use or pinned versions.checked 11 Oct 2026
- Analysis types
- The documentation describes Bayesian analyses with priors and frequentist inference using variables without probability distributions.checked 11 Oct 2026
- Bayesian analysis
- Yeschecked 23 Sep 2026
- Bayesian and frequentist modeling
- greta supports Bayesian analyses with prior distributions and frequentist inference using variables without probability distributions.checked 11 Oct 2026
- Compute
- The maker says greta can run on CPU clusters and GPUs.checked 11 Oct 2026
- Data import formats
- R numeric/logical vectors, matrices, arrays, and numeric/logical data frameschecked 23 Sep 2026
- Dependencies
- greta uses Google's TensorFlow and TensorFlow Probability Python packages, which it usually installs automatically on first use via uv.checked 11 Oct 2026
- Dependency setup
- On first use, greta usually installs a compatible Python, TensorFlow, and TensorFlow Probability through uv automatically.checked 11 Oct 2026
- Deployment
- desktopchecked 23 Sep 2026
- Developers
- The site credits Nick Golding and Nicholas Tierney as developers.checked 11 Oct 2026
- Extensibility
- Users can write their own R functions and packages using greta.checked 11 Oct 2026
- Inference
- greta builds statistical models interactively in R and samples from them using MCMC.checked 11 Oct 2026
- Installation
- The stable package is available from CRAN, and development versions are available through r-universe and GitHub.checked 11 Oct 2026
- License
- The CRAN package listing identifies greta's license as Apache License 2.0.checked 11 Oct 2026
- Modeling
- greta models are written in R, so users do not need to learn another language such as BUGS or Stan.checked 11 Oct 2026
- Model visualization
- greta provides a plotting function to visualize and check models before sampling.checked 11 Oct 2026
- Optional plotting dependency
- DiagrammeR is not installed automatically, and users need it with igraph to plot greta models.checked 11 Oct 2026
- Plotting limitation
- If users cannot install igraph and DiagrammeR, they can still use greta except for plotting models.checked 11 Oct 2026
- Plotting requirement
- Model plotting depends on DiagrammeR, which is not installed automatically with greta.checked 11 Oct 2026
- Purpose
- greta lets users write statistical models in R and fit them by MCMC.checked 11 Oct 2026
- Regression models
- Yeschecked 23 Sep 2026
- R workflow
- Models are written interactively in R, where greta arrays can be combined with mathematical operators and functions.checked 11 Oct 2026
- Scripting support
- Yeschecked 23 Sep 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
