About
Bambi is a high-level Bayesian model-building interface written in Python, designed to simplify the process of fitting mixed-effects models commonly used in social sciences. Built on top of the PyMC probabilistic programming framework, it allows users to easily perform statistical analysis and modeling using a Bayesian approach. Bambi is suitable for researchers and data analysts looking to implement Bayesian regression models with minimal coding effort.
Open Source Health
- Stars
- 1,298
- Forks
- 148
- License
- MIT
- Last commit
- 26 days ago
Resources & Links
Related Categories
Vendor
bambinos
Open-source project on GitHub: Bambi
Quick Links
Open Source
Related Products
Covid19 Scenarios
Models of COVID-19 outbreak trajectories and hospital demand
Top category match
Laravel Data
Powerful data objects for Laravel
Top category match
Kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Top category match
RStan
RStan, the R interface to Stan
Top category match
Jsonfield
A reusable Django field that allows you to store validated JSON in your model.
Top category match