All the convenience of lme4 in python

Covers the basics of mixed models, mostly using @lme4

A unified framework for data analysis with GLM/GLMM in R

An R Package for Quick Uncertainty Intervals

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

Mixed models @lme4 + custom covariances + parameter constraints

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.

Workshop on using Mixed Models with R

Quick Guide for Modelling Count Data in A Multilevel Framework

📈🌱 Mixed Models for Agriculture in R

This is the companion slides, data, and RStudio project for a workshop on mixed models.

A quick reference for how to run many models in R.

Demonstration of alternatives to lme4

Functions for using mgcv for mixed models. 📈

Supplemental scripts and resources from Heise, Mon, and Bowman (2022)

scikit-learn wrapper for generalized linear mixed model methods in R

Simple Mixed Effect Models and Censoring

Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration

En este repositorio subo los materiales de mis clases de R. He estado modificando/arreglando algunas y publicando otras. Cualquier duda o sugerencia favor escribirme a najulian@mat.uc.cl!

Fit GLMM with brms