Mixed Effects Model

A mixed effects model is used for determining the effects of one or more independent variables on a dependent variable when there are repeated measures from the same unit of observation.

Linear Mixed Effects Models

R tutorial for Spatial Statistics: Linear Mixed Effects Models in Agriculture

Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification

16. Linear Mixed Effect Modeling — Lab in C&P (Fall 2023)

Mixed Effects Models - Simple and Main Effects

Linear Mixed Effects Model not showing first level results within

Implementing Mixed-Effects Models in R and Python

regression - Visualization of a linear mixed effect models, with two continuous fixed effects and a random effect with random slope and intercept - Cross Validated

Confusing Statistical Term #10: Mixed and Multilevel Models

r - predict() Function for lmer Mixed Effects Models - Cross Validated

Introduction to linear mixed models

Mixed Effects Models - Fixed Effects

Chapter 18 Linear mixed models Elements of Statistical Modeling for Experimental Biology

r - plot mixed effects model in ggplot - Stack Overflow