albtorval / lm-glm-glmm-intro

A unified framework for data analysis with GLM/GLMM in R

Linear, Generalized, and Mixed/Multilevel models with R

Slides and R code for a course on GLM and GLMM in R.

Course philosophy

Introductory statistics are typically taught as a sequence of disconnected tests and protocols (e.g. t-test, ANOVA, ANCOVA, regression) while, in reality, all these analyses can be seen as special cases of a more general linear model. In this course, we will introduce Generalised Linear Models as a unified, coherent, and easily extendable framework for the analysis of many different types of data, including Normal (Gaussian), binary, and discrete (count) responses, and both categorical (factors) and continuous predictors.

Slides: https://github.com/Pakillo/LM-GLM-GLMM-intro/blob/trees/GLMs2pdf.pdf (https://tinyurl.com/glm-intro-r)

LICENSE

These materials are released with a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You can use/adapt them for non-commercial purposes as long as you mention the source (this repository) and share the materials with a similar license.

Francisco Rodriguez-Sanchez
https://frodriguezsanchez.net