Chapter 1 Learning objectives

Mixed effects models allow ecologists to overcome a number of limitations associated with traditional linear models.

In this workshop, you will learn when it is important to use a mixed effects model to analyze your data. Specifically, we will:

1. Describe what are (generalized) mixed effects models

2. Identify situations in which the use of mixed effects is appropriate

3. Implement basic linear mixed models (LMM) with R

4. Execute basic generalized linear mixed models (GLMM) with R

5. Validate, interpret and visualize mixed models with R

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