Pretty and easy Bayesian estimation with data overlay
Pretty and easy hierarchical Bayesian or linear mixed effects estimation with data overlay
Free software: MIT license
Less haphasard testing
- Shrinkage layer: Should be as easy as alt.layer with unpooled model
Make sure + works well with facet
- how is holoviz with coposite overlays? Maybe the facet method is not necessary then
delete facet attribute of chart if independent_axes=True
Formalize detailed data plot: trial-slope plus box. Try to add posteriors? see notebook
- Random-effect plots (eg intercepts): bw.plot_extras?
see lfp notebook
Decide on Vega theme
First release on PyPI.
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