Slides

The slides for the LM/LMM lecture can be found here.

Those for GLMs/GLMMS can be found here.

A brief overview of ressources available for other methods such as quantile regressions, structural equation modelling or machine learning approaches (Random forest/ Boosted regression trees) can be found here.

Code to create the slides can be found in the .rmd files

Data

Data for the exercise can either be directly download from R or found in the data folder of the Github repository

Credits

All this material, and especially the exercises, is largely inspired from the CSBQ workshops created by Marie-Hélène Brice & Kevin Cazelles.

See here for the other resources they propose (e.g. multivariate statistics).

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Aurélien Boyé