greta
greta-dev.github.io
Spec sheet
- Purpose
- greta lets users write statistical models in R and fit them by MCMC.Read 11 Oct 2026 · greta-dev.github.io
- Deployment
- desktopRead 23 Sep 2026 · greta-dev.github.io
- Free plan
- YesRead 23 Sep 2026 · greta-dev.github.io
- Support
- The maker directs usage and model questions to the greta forum rather than GitHub issues.Read 11 Oct 2026 · greta-dev.github.io
- License
- The CRAN package listing identifies greta's license as Apache License 2.0.Read 11 Oct 2026 · cran.mirror.garr.it
- Alternative dependency setup
- The maker documents using a conda environment when needed, including for offline use or pinned versions.Read 11 Oct 2026 · greta-dev.github.io
- Analysis types
- The documentation describes Bayesian analyses with priors and frequentist inference using variables without probability distributions.Read 11 Oct 2026 · greta-dev.github.io
- Bayesian analysis
- YesRead 23 Sep 2026 · greta-dev.github.io
- Bayesian and frequentist modeling
- greta supports Bayesian analyses with prior distributions and frequentist inference using variables without probability distributions.Read 11 Oct 2026 · greta-dev.github.io
- Compute
- The maker says greta can run on CPU clusters and GPUs.Read 11 Oct 2026 · greta-dev.github.io
- Data import formats
- R numeric/logical vectors, matrices, arrays, and numeric/logical data framesRead 23 Sep 2026 · greta-dev.github.io
- Dependencies
- greta uses Google's TensorFlow and TensorFlow Probability Python packages, which it usually installs automatically on first use via uv.Read 11 Oct 2026 · greta-dev.github.io
- Dependency setup
- On first use, greta usually installs a compatible Python, TensorFlow, and TensorFlow Probability through uv automatically.Read 11 Oct 2026 · greta-dev.github.io
- Developers
- The site credits Nick Golding and Nicholas Tierney as developers.Read 11 Oct 2026 · greta-dev.github.io
- Extensibility
- Users can write their own R functions and packages using greta.Read 11 Oct 2026 · greta-dev.github.io
- Inference
- greta builds statistical models interactively in R and samples from them using MCMC.Read 11 Oct 2026 · greta-dev.github.io
- Installation
- The stable package is available from CRAN, and development versions are available through r-universe and GitHub.Read 11 Oct 2026 · greta-dev.github.io
- Model visualization
- greta provides a plotting function to visualize and check models before sampling.Read 11 Oct 2026 · greta-dev.github.io
- Modeling
- greta models are written in R, so users do not need to learn another language such as BUGS or Stan.Read 11 Oct 2026 · greta-dev.github.io
- Optional plotting dependency
- DiagrammeR is not installed automatically, and users need it with igraph to plot greta models.Read 11 Oct 2026 · greta-dev.github.io
- Plotting limitation
- If users cannot install igraph and DiagrammeR, they can still use greta except for plotting models.Read 11 Oct 2026 · greta-dev.github.io
- Plotting requirement
- Model plotting depends on DiagrammeR, which is not installed automatically with greta.Read 11 Oct 2026 · greta-dev.github.io
- R workflow
- Models are written interactively in R, where greta arrays can be combined with mathematical operators and functions.Read 11 Oct 2026 · greta-dev.github.io
- Regression models
- YesRead 23 Sep 2026 · greta-dev.github.io
- Scripting support
- YesRead 23 Sep 2026 · greta-dev.github.io
- TensorFlow engine
- greta uses Google TensorFlow and TensorFlow Probability Python packages under the hood.Read 11 Oct 2026 · greta-dev.github.io
Where Specifiction places it
- Statistical Analysis Software#59 of 1067.6