Pretty and easy hierarchical Bayesian or linear mixed effects estimation with data overlay
- Free software: MIT license
- Documentation: https://mmyros.github.io/bayes-book/index.html
For gpu: `pip install --upgrade "jax[cuda102]" -f https://storage.googleapis.com/jax-releases/jax_releases.html or cudaXXX from `nvcc --version
See extensive examples https://mmyros.github.io/bayes-book/index.html
- Fit checks for LME under plot_diagnostics()
- Posterior predictive to mimic data plot
- Less haphazard testing
- Shrinkage layer: Should be as easy as alt.layer with unpooled model
- Prior predictive and posterior predictive plots
- wait for resolution to vega/vega-lite#4373 (comment)
- Random-effect plots (eg intercepts): bw.plot_extras?
- Decide on Vega theme