pymer4: all the convenience of lme4 in python


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conda install

  • linux-64  v0.7.1
  • osx-64  v0.7.1
  • win-64  v0.7.1
To install this package with conda run one of the following:
conda install -c ejolly pymer4
conda install -c ejolly/label/pre-release pymer4


Documentation site

Installation in a new environment

conda create --name pymer4 -c ejolly -c defaults -c conda-forge pymer4
conda activate pymer4

Installation in an existing environment

conda install -c ejolly -c defaults -c conda-forge pymer4

Brief description

pymer4 is a statistics library for estimating various regression and multi-level models in Python. Love lme4 in R, but prefer to work in the scientific Python ecosystem? This package has got you covered!

pymer4 provides a clean interface that hides the back-and-forth code required when moving between R and Python. In other words, you can work completely in Python, never having to deal with R, but get (most) of lme4’s goodness. This is accomplished using rpy2 to interface between langauges.

Additionally pymer4 can fit various additional regression models with some bells, such as robust standard errors, and two-stage regression (summary statistics) models.

TL;DR This package is your new simple Pythonic drop-in replacement for lm() or glmer() in R.

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