Regression Models
This package is design for general regression models including generalized linear models and others.
It features
Bayesian framework, allows user to include priors into the mdoel.
Easy spline interface and spline shape priors and constraint.
Current model pool contains:
Linear model
Poisson model
Binomial model
Install
Package requires Python version above >=3.10.
To install the package, the simplest way is through pip,
pip install regmod
Or you could clone this repository and do,
python setup.py install
Acknowledgement
Design idea of this package comes from “Animal” package. It is a general tool building template, for more detail please check the link above.
Metadata
Release files for regmod 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| regmod-0.2.2.tar.gz | 36.8 kB | Without provenance | Details for regmod-0.2.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| regmod-0.2.2-py3-none-any.whl | Python 3 | none | any | Details for regmod-0.2.2-py3-none-any.whl |
Total release size: 77.3 kB
Release files / regmod-0.2.2.tar.gz
| Download URL | regmod-0.2.2.tar.gz |
|---|---|
| Size | 36.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
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Release files / regmod-0.2.2-py3-none-any.whl
| Download URL | regmod-0.2.2-py3-none-any.whl |
|---|---|
| Size | 40.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
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Security for regmod 0.2.2
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