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
Project details
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
modelframe-0.1.1.tar.gz
(6.3 kB
view hashes)
Built Distribution
modelframe-0.1.1-py3-none-any.whl
(21.3 kB
view hashes)
Close
Hashes for modelframe-0.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 20699af89a92f9512cdb52f8129f9bff8744a951d018480ae0683fbea6787aac |
|
MD5 | d60ea4f094db47fe88aaae7537233ec9 |
|
BLAKE2b-256 | 04053e4ca4464ee8a59124c176c4167fafa3a854a0fe2f8677030b46d275bde1 |