m-clark / Mixed Models With R
Covers the basics of mixed models, mostly using @lme4
Stars: ✭ 48
Programming Languages
r
7636 projects
mixed-models-with-R
This document provides an introduction to mixed models. It uses lme4 as the primary tool, but demonstrates others. Topics include random intercept and slope models, discussion of crossed vs. nested random effects, some common extensions (e.g. generalized linear mixed models), Bayesian tools, and other models that deal with dependency in the data.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].