Bambi (software)
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| Bambi | |
|---|---|
| Original author(s) | Bambinos |
| Initial release | May 15, 2016 |
| Repository | github |
| Written in | Python |
| Operating system | Unix-like, macOS, Windows |
| Platform | Intel x86 – 32-bit, x64 |
| Type | Statistical package |
| License | MIT License |
| Website | bambinos |
Bambi is a high-level Bayesian model-building interface written in Python. It works with the PyMC probabilistic programming framework. Bambi provides an interface to build and solve Bayesian generalized (non-)linear multivariate multilevel models.[1][2][3][4][5][6][7][8][9][10]
Bambi is an open source project, developed by the community and is an affiliated project of NumFOCUS.
Bambi is an acronym for BAyesian Model-Building Interface.
Library features
- Model specification using a Wilkison-like formula style
- Bayesian inference using MCMC and Variational Inference methods
- Interface with ArviZ, as Bambi returns an InferenceData object
- Model interpretation via conditional adjusted comparisons, predictions, and slopes
- A wide array of response families
- Default priors that the users can modify if needed
