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#

mixed-models

Here are 144 public repositories matching this topic...

performance

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

  • UpdatedMar 18, 2025
  • R

A Julia package for fitting (statistical) mixed-effects models

  • UpdatedMar 18, 2025
  • Julia

All the convenience of lme4 in python

  • UpdatedMar 18, 2025
  • Python
Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

  • UpdatedNov 25, 2020
  • R

Effect size measures and significance tests

  • UpdatedMar 7, 2025
  • R

Material for a workshop on Bayesian stats with R

  • UpdatedOct 17, 2024
  • HTML

An R package for extracting results from mixed models that are easy to use and viable for presentation.

  • UpdatedOct 11, 2022
  • R
models-by-example

GLMMs with adaptive Gaussian quadrature

  • UpdatedMar 10, 2025
  • R

Formulas for mixed-effects models in Python

  • UpdatedJan 30, 2025
  • Python

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

  • UpdatedMar 18, 2025
  • Julia

Bayesian estimation of the finishing skill of football players

  • UpdatedJan 12, 2018
  • R

This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.

  • UpdatedApr 25, 2023
  • R

A random-forest-based approach for imputing clustered incomplete data

  • UpdatedMay 6, 2017
  • R

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R

  • UpdatedNov 26, 2024
  • R

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