Mixed Effects Modeling with R
Автор: Quantitations
Загружено: 2022-03-04
Просмотров: 588
An excerpt from my Mixed Effects Modeling workshop at Yale, taught remotely during the summer of 2020.
A random effect is a model coefficient that is itself modeled as a random draw from a distribution that may, in turn, involve unknown parameters. A linear mixed effects model can have both terms with fixed (unknown) coefficients and terms with random coefficients. This workshop begins by clarifying linear mixed effects models as a generalization of ordinary linear models then quickly moves into four concrete examples, while drawing plenty of plots to aid your understanding.
Slides:
http://quantitations.com/static/teach...
R script:
http://quantitations.com/static/teach...
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