Covers the basics of mixed models, mostly using @lme4
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Updated
Jan 30, 2022 - R
Covers the basics of mixed models, mostly using @lme4
A unified framework for data analysis with GLM/GLMM in 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.
Mixed models @lme4 + custom covariances + parameter constraints
Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration
Workshop on using Mixed Models with R
Simple Mixed Effect Models and Censoring
Functions for using mgcv for mixed models. 📈
This is the companion slides, data, and RStudio project for a workshop on mixed models.
Bits of code to help clean up and display statistical analyses, largely in R.
scikit-learn wrapper for generalized linear mixed model methods in R
An R package for extracting results from mixed models that are easy to use and viable for presentation.
📈🌱 Mixed Models for Agriculture in R
Elevational variation in tropical trees analysis
Mixed effect modeling with R tutorials
A quick reference for how to run many models in R.
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