Add your description here
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jaxglm-0.1.1.tar.gz
(8.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
jaxglm-0.1.1-py3-none-any.whl
(10.9 kB
view details)
File details
Details for the file jaxglm-0.1.1.tar.gz.
File metadata
- Download URL: jaxglm-0.1.1.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
02249fe096cdfc0b3b016260e7a20016eaa0bd2cd894e44268d156f39e0c19fc
|
|
| MD5 |
9e67890ad2c5dcdd4a051cc3dd063418
|
|
| BLAKE2b-256 |
b43613e3c3404861b5e055c17b0c2e52802e98daea301c6f74a307eacfdc2818
|
File details
Details for the file jaxglm-0.1.1-py3-none-any.whl.
File metadata
- Download URL: jaxglm-0.1.1-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bb9626663e38543e87b3b00aeb515198f900d1dd589c49ed457f7c7f6cc5e066
|
|
| MD5 |
104d0e249a10b21a8533b1f30d34106d
|
|
| BLAKE2b-256 |
b74236468e91a537a30e753e7905be413d7e0179e661d250aad30d516f926802
|