Stepwise selection for statsmodels GLM.
Project description
stepsel
Stepwise selection for statsmodels GLM.
Installation
$ pip install stepsel
Usage
stepsel was developed to allow for convenient stepwise selection modeling with statsmodels allowing for proper handling of categorical variables. See docs/example.ipynb for more.
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
stepsel was created by Jakub Cerny. It is licensed under the terms of the MIT license.
Credits
stepsel was created with cookiecutter and the py-pkgs-cookiecutter template.
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
Built Distribution
File details
Details for the file stepsel-0.1.0.tar.gz.
File metadata
- Download URL: stepsel-0.1.0.tar.gz
- Upload date:
- Size: 52.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7dcfd37728fd66c75439200fdf8e3903bbfb785cdb7e601c6c7208cbf3223f2a |
|
| MD5 | 9254407286255f94e273ad98705ff932 |
|
| BLAKE2b-256 | 7398fb7d91ed3e5ddf35d5fda0e484b6aabb6ffbd8d6fe5dc04058593cb68152 |
File details
Details for the file stepsel-0.1.0-py3-none-any.whl.
File metadata
- Download URL: stepsel-0.1.0-py3-none-any.whl
- Upload date:
- Size: 55.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ed2b54b5e4748a2e9a133f2422fa591335c691b6ee50801a0026731abe2d7c82 |
|
| MD5 | 23a89905e6f56ad45ac494f5f7ab1af0 |
|
| BLAKE2b-256 | bc12d0d176d6db977d872aeafbe9710dd5f3621283a165441914b44b525ac2b3 |
