modelframe

Compute fixed and random effects model matrices in Python

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

Compute fixed and random effects model matrices in Python

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

You can install modelframe either from PyPI using:

pip install modelframe

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

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.1.1

May 30, 2020

0.1.0

May 19, 2020

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

Uploaded May 30, 2020 Source

Uploaded May 30, 2020 Python 3

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