Bibliographie

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1). https://doi.org/10.18637/jss.v067.i01

Brown, V. A. (2021). An Introduction to Linear Mixed-Effects Modeling in R. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920960351. https://doi.org/10.1177/2515245920960351

DeBruine, L. M., & Barr, D. J. (2021). Understanding Mixed-Effects Models Through Data Simulation. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920965119. https://doi.org/10.1177/2515245920965119

Gałecki, A. T., & Burzykowski, T. (2013). Linear mixed-effects models using R : A step-by-step approach. Springer.Jiang, J., & Nguyen, T. (2021). Linear and Generalized Linear Mixed Models and Their Applications. Springer New York. https://doi.org/10.1007/978-1-0716-1282-8

Locker, L., Hoffman, L., & Bovaird, J. A. (2007). On the use of multilevel modeling as an alternative to items analysis in psycholinguistic research. Behavior Research Methods, 39(4), 723‑730. https://doi.org/10.3758/BF03192962

Pinheiro, J., Bates, D., & R Core Team. (2025). nlme : Linear and Nonlinear Mixed Effects Models. https://CRAN.R-project.org/package=nlme

Pinheiro, J. C., & Bates, D. M. (2000). Mixed-Effects Models in S and S-PLUS. Springer. https://doi.org/10.1007/b98882

Stefaniak, N. (unpublish). Modèles linéaires mixtes.