On the recordRead 11 Oct 202626 facts
greta
On the record
- Alternative dependency setup
- The maker documents using a conda environment when needed, including for offline use or pinned versions.greta-dev.github.io · read 11 Oct 2026
- Analysis types
- The documentation describes Bayesian analyses with priors and frequentist inference using variables without probability distributions.greta-dev.github.io · read 11 Oct 2026
- Bayesian analysis
- Yesgreta-dev.github.io · read 23 Sep 2026
- Bayesian and frequentist modeling
- greta supports Bayesian analyses with prior distributions and frequentist inference using variables without probability distributions.greta-dev.github.io · read 11 Oct 2026
- Compute
- The maker says greta can run on CPU clusters and GPUs.greta-dev.github.io · read 11 Oct 2026
- Data import formats
- R numeric/logical vectors, matrices, arrays, and numeric/logical data framesgreta-dev.github.io · read 23 Sep 2026
- Dependencies
- greta uses Google's TensorFlow and TensorFlow Probability Python packages, which it usually installs automatically on first use via uv.greta-dev.github.io · read 11 Oct 2026
- Dependency setup
- On first use, greta usually installs a compatible Python, TensorFlow, and TensorFlow Probability through uv automatically.greta-dev.github.io · read 11 Oct 2026
- Deployment
- desktopgreta-dev.github.io · read 23 Sep 2026
- Developers
- The site credits Nick Golding and Nicholas Tierney as developers.greta-dev.github.io · read 11 Oct 2026
- Extensibility
- Users can write their own R functions and packages using greta.greta-dev.github.io · read 11 Oct 2026
- Inference
- greta builds statistical models interactively in R and samples from them using MCMC.greta-dev.github.io · read 11 Oct 2026
- Installation
- The stable package is available from CRAN, and development versions are available through r-universe and GitHub.greta-dev.github.io · read 11 Oct 2026
- License
- The CRAN package listing identifies greta's license as Apache License 2.0.cran.mirror.garr.it · read 11 Oct 2026
- Modeling
- greta models are written in R, so users do not need to learn another language such as BUGS or Stan.greta-dev.github.io · read 11 Oct 2026
- Model visualization
- greta provides a plotting function to visualize and check models before sampling.greta-dev.github.io · read 11 Oct 2026
- Optional plotting dependency
- DiagrammeR is not installed automatically, and users need it with igraph to plot greta models.greta-dev.github.io · read 11 Oct 2026
- Plotting limitation
- If users cannot install igraph and DiagrammeR, they can still use greta except for plotting models.greta-dev.github.io · read 11 Oct 2026
