Bambi (software)

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
Original author(s)	Bambinos
Initial release	May 15, 2016 (2016-05-15)
Repository	github.com/bambinos/bambi
Written in	Python
Operating system	Unix-like, macOS, Windows
Platform	Intel x86 – 32-bit, x64
Type	Statistical package
License	MIT License
Website	bambinos.github.io/bambi/

Bambi is an open source project, developed by the community and is an affiliated project of NumFOCUS.

Etymology

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

See also

• Free software portal
• Mathematics portal

• Stan, a probabilistic programming language for statistical inference written in C++