Skip to main content

General regression models

Project description

https://github.com/ihmeuw-msca/regmod/workflows/build/badge.svg https://badge.fury.io/py/regmod.svg

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

regmod-0.2.2.tar.gz (36.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

regmod-0.2.2-py3-none-any.whl (40.5 kB view details)

Uploaded Python 3

File details

Details for the file regmod-0.2.2.tar.gz.

File metadata

  • Download URL: regmod-0.2.2.tar.gz
  • Upload date:
  • Size: 36.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for regmod-0.2.2.tar.gz
Algorithm Hash digest
SHA256 59f48e712df9cde1356bab060a08185ad7f1fb58cd4bba4344130ae171234092
MD5 7055e363754beb4c91de539a7b8913c3
BLAKE2b-256 5a607b143177c76a58d34c365a5a290c06ff3c2380e2983d3c723c0e713a1834

See more details on using hashes here.

File details

Details for the file regmod-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: regmod-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 40.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for regmod-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 376a9614e1e094316531f51498d0cc4ccbe469ec28c70f8731e4b4a877a28123
MD5 5175e8ce5c60f931edabcc255b619d31
BLAKE2b-256 aa18e40c9a096e261b55281db018031764326a5aad5d7260c45a227809cb3c79

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page