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
1 maintainer
Metadata
1 maintainer
Release files for jaxglm 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| jaxglm-0.1.1.tar.gz | 8.1 kB | Without provenance | Details for jaxglm-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| jaxglm-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for jaxglm-0.1.1-py3-none-any.whl |
Total release size: 19.0 kB
Release files / jaxglm-0.1.1.tar.gz
| Download URL | jaxglm-0.1.1.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.11
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Release files / jaxglm-0.1.1-py3-none-any.whl
| Download URL | jaxglm-0.1.1-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
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Security for jaxglm 0.1.1
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