19. Mixed-Effects Models
Published Online: 6 NOV 2012
DOI: 10.1002/9781118448908.ch19
Copyright © 2013 John Wiley & Sons, Ltd
Book Title
The R Book, Second Edition
Additional Information
How to Cite
Crawley, M. J. (2012) Mixed-Effects Models, in The R Book, Second Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118448908.ch19
Publication History
- Published Online: 6 NOV 2012
- Published Print: 7 DEC 2012
ISBN Information
Print ISBN: 9780470973929
Online ISBN: 9781118448908
- Summary
- Chapter
Keywords:
- mixed-effects models;
- replication and pseudoreplication;
- the lme and lmer functions;
- best linear unbiased predictors;
- designed experiments with different spatial scales, split plots;
- mixed-effects models, with temporal pseudoreplication;
- random effects in designed experiments;
- time series analysis in mixed-effects models;
- GLM, hierarchically structured count data
Summary
This chapter contains sections titled:
-
Replication and pseudoreplication
-
The lme and lmer functions
-
Best linear unbiased predictors
-
Designed experiments with different spatial scales: Split plots
-
Hierarchical sampling and variance components analysis
-
Mixed-effects models with temporal pseudoreplication
-
Time series analysis in mixed-effects models
-
Random effects in designed experiments
-
Regression in mixed-effects models
-
Generalized linear mixed models