Linear Mixed-Effects Models with R

Learn how to specify, fit, interpret, evaluate and compare estimated parameters with linear mixed-effects models in R.
3.95 (260 reviews)
Udemy
platform
English
language
Math
category
Geoffrey Hubona, Ph.D.
instructor
Linear Mixed-Effects Models with R
2 487
students
10.5 hours
content
Aug 2020
last update
$49.99
regular price

What you will learn

Specify an appropriate linear mixed-effects model structure with their own data.

Compare alternative modeling structures and choose the best specification.

Represent, fit, and choose among different, competing correlational structures appropriate to both temporal and spatial pseudo-replicated models.

Validate the "goodness" of the model and the model assumptions.

Represent, estimate, interpret and report on linear mixed-effects model parameters using R software.

Course Gallery

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591852
udemy ID
24/08/2015
course created date
22/11/2019
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