https://github.com/mmyros/bayes-window
Pretty, easy, flexible Bayesian estimation with data overlay
https://github.com/mmyros/bayes-window
altair bayesian-inference inferential-statistics numpyro statistics
Last synced: 6 months ago
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Pretty, easy, flexible Bayesian estimation with data overlay
- Host: GitHub
- URL: https://github.com/mmyros/bayes-window
- Owner: mmyros
- License: mit
- Created: 2021-02-05T22:12:23.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-03-18T20:42:10.000Z (over 2 years ago)
- Last Synced: 2024-03-18T21:57:38.892Z (over 2 years ago)
- Topics: altair, bayesian-inference, inferential-statistics, numpyro, statistics
- Language: Jupyter Notebook
- Homepage: https://mmyros.github.io/bayes-book/index.html
- Size: 320 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Authors: AUTHORS.rst
Awesome Lists containing this project
README
.. image:: https://img.shields.io/pypi/v/bayes_window.svg
:target: https://pypi.python.org/pypi/bayes_window
.. image:: https://github.com/mmyros/bayes-window/actions/workflows/pytest.yaml/badge.svg
:target: https://github.com/mmyros/bayes-window/actions/workflows/pytest.yaml/badge.svg
.. image:: https://readthedocs.org/projects/bayes-window/badge/?version=latest
:target: https://bayes-window.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://codecov.io/gh/mmyros/bayes-window/branch/master/graph/badge.svg?token=CQMHJRNC9I
:target: https://codecov.io/gh/mmyros/bayes-window
.. image:: https://img.shields.io/lgtm/grade/python/g/mmyros/bayes-window.svg?logo=lgtm&logoWidth=18
:target: https://lgtm.com/projects/g/mmyros/bayes-window/context:python
:alt: Language grade: Python
============
Bayes Window
============
.. image:: bw_logo_drawing.png
:height: 160
:align: center
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
INSTALLATION
------------
For gpu:
```pip install --upgrade "jax[cuda102]" -f https://storage.googleapis.com/jax-releases/jax_releases.html```
or cudaXXX from `nvcc --version`
Features
--------
See extensive examples https://mmyros.github.io/bayes-book/index.html
TODO
----
- 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 https://github.com/vega/vega-lite/issues/4373#issuecomment-447726094
- Random-effect plots (eg intercepts): bw.plot_extras?
- Decide on Vega theme