References

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Bolker, Ben, and David Robinson. 2024. Broom.mixed: Tidying Methods for Mixed Models. https://CRAN.R-project.org/package=broom.mixed.

Hartig, Florian. 2022. DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models. https://CRAN.R-project.org/package=DHARMa.

Kuznetsova, Alexandra, Per B. Brockhoff, and Rune H. B. Christensen. 2017. “lmerTest Package: Tests in Linear Mixed Effects Models.” Journal of Statistical Software 82 (13): 1–26. https://doi.org/10.18637/jss.v082.i13.

Lenth, Russell V. 2022. Emmeans: Estimated Marginal Means, Aka Least-Squares Means. https://CRAN.R-project.org/package=emmeans.

Lüdecke, Daniel, Mattan S. Ben-Shachar, Indrajeet Patil, Philip Waggoner, and Dominique Makowski. 2021. “performance: An R Package for Assessment, Comparison and Testing of Statistical Models.” Journal of Open Source Software 6 (60): 3139. https://doi.org/10.21105/joss.03139.

Patterson, H. D., and E. R. Williams. 1976. “A New Class of Resolvable Incomplete Block Designs.” Biometrika 63 (1): 83–92. https://doi.org/10.2307/2335087.

Pinheiro, José C., and Douglas M. Bates. 2000. Mixed-Effects Models in s and s-PLUS. New York: Springer. https://doi.org/10.1007/b98882.

Pinheiro, José, Douglas Bates, and R Core Team. 2023. Nlme: Linear and Nonlinear Mixed Effects Models. https://CRAN.R-project.org/package=nlme.

Yates, F. 1936. “A New Method of Arranging Variety Trials Involving a Large Number of Varieties.” J Agric Sci 26: 424–55.