Skip to main content

Compute fixed and random effects model matrices in Python

Project description

Compute fixed and random effects model matrices in Python

About

modelframe builds model matrices and response vectors from a given dataset using lme4-style formulas in Python.

Installation

You can install modelframe either from PyPI using:

pip install modelframe

or using the latest GitHub [release](https://github.com/dirmeier/modelframe/releases/):

python -m pip install git+https://github.com/dirmeier/modelframe.git@v0.1.0

Author

Simon Dirmeier simon.dirmeier at web.de.

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

modelframe-0.1.1.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

modelframe-0.1.1-py3-none-any.whl (21.3 kB view details)

Uploaded Python 3

File details

Details for the file modelframe-0.1.1.tar.gz.

File metadata

  • Download URL: modelframe-0.1.1.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for modelframe-0.1.1.tar.gz
Algorithm Hash digest
SHA256 24c9700a943cee8b65acaf82544e5432eaf4d41a1f91b9f3e0d1618d329b3ded
MD5 2b0137c3808716a095214be66641a4e6
BLAKE2b-256 0bd692bae0715bca2ceaf97984b6f0787d461cfa4301d9fa583c3ccca570183b

See more details on using hashes here.

File details

Details for the file modelframe-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: modelframe-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 21.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for modelframe-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 20699af89a92f9512cdb52f8129f9bff8744a951d018480ae0683fbea6787aac
MD5 d60ea4f094db47fe88aaae7537233ec9
BLAKE2b-256 04053e4ca4464ee8a59124c176c4167fafa3a854a0fe2f8677030b46d275bde1

See more details on using hashes here.

Supported by

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