Field Guide to the R Mixed Model Wilderness
  1. 16  Additional Resources
  • Preface
  • 1  Introduction
  • 2  Zen and the Art of Statistical Analysis
  • 3  Mixed Model Background
  • 4  Model Prep & Workflow
  • Experiment designs
    • 5  Randomized Complete Block Design
    • 6  Factorial RCBD Design
    • 7  Split Plot Design
    • 8  Split-Split Plot Design
    • 9  Strip Plot Design
    • 10  Incomplete Block Design
    • 11  Latin Square Design
  • 12  Repeated Measures
  • 13  Marginal Means and Contrasts
  • 14  Variance and Variance Components
  • 15  Troubleshooting
  • 16  Additional Resources
  • References

Table of contents

  • 16.1 Further Reading on Mixed Models
  • 16.2 Other Related Programming Resources
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16  Additional Resources

16.1 Further Reading on Mixed Models

  • UCLA Short Guide

  • lme4 vignette for fitting linear mixed models

  • Mixed-Effects Models in S and S-PLUS thee book for nlme, by José C. Pinheiro and Douglas M. Bates (2000). We used this book extensively for developing this guide. Sadly, it’s both out of print and we could not find a free copy online. However, there are affordable used copies available.

  • Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman and Jennifer Hill (2006). Good general introduction with a major focus on Bayesian models. Free PDF

  • Mixed Effects Models and Extensions in Ecology with R by Alain F. Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, and Graham M. Smith (2009).

  • ANOVA and Mixed Models by Lukas Meier (2022).

16.2 Other Related Programming Resources

  • Easy Stats a collection of R packages to assist in statistical modelling with a major focus on linear models.

  • Mixed Model CRAN Task View a curated list of R packages relevant to mixed modelling. This is a great place to start if you’re looking for specialized modeling functionality.

  • R-SIG-mixed-models mailing list for help and discussion of mixed-model-related questions, course announcements, etc.

  • Grammar of Experimental Designs by Emi Tanaka. This has a great description of basic principles of experimental design.

15  Troubleshooting
References

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