A Practical Guide to Mixed Models in R | Julia Pilowsky
Amazon.com: Generalized, Linear, and Mixed Models, 2nd Edition: 9780470073711: McCulloch: Books
R for Mixed models – Bespoke Statistical Training for Africa
Chapter 6 Random and Mixed Effects Models | ANOVA and Mixed Models
Chapter 8 Linear Mixed Models | R (BGU course)
r - Compare using `lme4` and `nlme` for mixed effects models - Cross Validated
Generalized linear mixed models: a practical guide for ecology and evolution: Trends in Ecology & Evolution
Generalized Linear Mixed Models in Ecology and in R | R-bloggers
Mixed Models: Theory and Applications with R, 2nd Edition | Wiley
Linear Mixed-Effects Models Using R | SpringerLink
Mixed effects models and extensions in ecology with R | SpringerLink
Bayesian Approaches | Mixed Models with R
A Bayesian Approach to Linear Mixed Models (LMM) in R/Python | by Eduardo Coronado Sroka | Towards Data Science
Mixed models for repeated measures--part 1
A Practical Guide to Mixed Models in R
A Bayesian Approach to Linear Mixed Models (LMM) in R/Python | by Eduardo Coronado Sroka | Towards Data Science
Mixed Models / Hierarchical Models
Generalized Linear Mixed Effects Models in R and Python with GPBoost | by Fabio Sigrist | Towards Data Science
r - predict() Function for lmer Mixed Effects Models - Cross Validated
Linear Mixed Effects Models
Introduction to linear mixed models
![PDF] mixed models for S language environments ASReml-R reference manual ASReml estimates variance components under a general linear mixed model by residual maximum likelihood (REML) | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3e431f395681cc17d8b2366d571fd4a4d2c0d8f6/16-Figure1.1-1.png "PDF] mixed models for S language environments ASReml-R reference manual ASReml estimates variance components under a general linear mixed model by residual maximum likelihood (REML) | Semantic Scholar")