Generalized linear mixed models using R

[3 hours] - [English]

Your data carry a complex structure that classical models cannot handle with a binary or count response ? You have random factors or repeated-measures ? It is time to try the generalized linear mixed models !

Mixed models are a family of models with both fixed and random effects. They make it possible to take into account the correlation between several observations, in particular the temporal aspect of the data.

Training aims
After this training, participants will understand some of the theoretical concepts beyond the generalized linear mixed models and will know how to create the most classical ones using R with the package glmmTMB.
There are exercises based on true data in order to get familiar with these models and their use in R.

Prerequisites
By registering for this training, you commit to a level of knowledge equivalent to the following training(s):

Content

• A short reminder of Generalized linear model and Linear mixed model
• Generalized linear mixed model

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

Tools used during training
R

Methods and method families discussed
Mixed models
   Generalized mixed model