https://github.com/fabsig/comparison_glmm_packages

Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)
https://github.com/fabsig/comparison_glmm_packages

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Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)

• Host: GitHub
• URL: https://github.com/fabsig/comparison_glmm_packages
• Owner: fabsig
• License: apache-2.0
• Created: 2021-06-15T13:41:31.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-02-02T16:13:38.000Z (over 3 years ago)
• Last Synced: 2025-09-15T06:33:38.229Z (9 months ago)
• Language: R
• Homepage: https://towardsdatascience.com/generalized-linear-mixed-effects-models-in-r-and-python-with-gpboost-89297622820c
• Size: 250 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Comparing Software Packages for Generalized Linear Mixed Effects Models (GLMMs)

This repository contains the code to reproduce the full simulation study described in [this blog post](https://towardsdatascience.com/generalized-linear-mixed-effects-models-in-r-and-python-with-gpboost-89297622820c). 

The simulation is done by the file [Compare_GLMM_packages.R](https://github.com/fabsig/Comparison_GLMM_Packages/blob/master/Compare_GLMM_packages.R). The `reticulate` package is used to call the Python code in [GLMM_statsmodels.py](https://github.com/fabsig/Comparison_GLMM_Packages/blob/master/GLMM_statsmodels.py), which runs the `statsmodels` GLMMs, from R.