Metadata-Version: 2.3
Name: jaxglm
Version: 0.1.1
Summary: Add your description here
Requires-Dist: arviz>=0.22.0
Requires-Dist: jax>=0.7.2
Requires-Dist: numpyro>=0.19.0
Requires-Dist: pandas>=2.3.3
Requires-Dist: patsy>=1.0.1
Requires-Python: >=3.12
Description-Content-Type: text/markdown

# Jax GLM

Bayesian Generalized Linear Models with a statsmodels-like API built on NumPyro.

## Features

- Standard GLM families (Gaussian, Binomial, Poisson, Gamma, etc.)
- Ordinal logistic regression
- Flexible link functions
- Patsy formula interface
- ArviZ integration for diagnostics
- Full posterior inference with NUTS

## Installation
