Dear all,

registrations are open for the 3rd edition of the Physalia course on
"Generalised Linear Mixed Models in R".

Dates: online, October 21st-24th

Course website: (
https://www.physalia-courses.org/courses-workshops/glmms-in-r/ )

This course is aimed at graduate students and researchers who have
experience with generalized linear regression models in R and want to
extend their knowledge by learning how to add random effects, correlation
structures, and variance models to these models. The basics of LM, GLM,
and ANOVA are reviewed at the beginning of the course.

After attending this course, you will be able to:

1. Deepen your understanding of fundamental regression concepts, including
centering, scaling, interactions, contrasts, and ANOVA. 2. Understand the
components of the GLMM framework (choice of distributions, random effects,
variance structures, correlation structures) 3.  Choose the appropriate
model structure in an applied analysis of experimental or observational
data (focusing on the R packages lme4 and glmmTMB)4. Interpret the
fitted models and calculate the expected effect of predictors on the
response. 5. Know how to visualize fitted GLMMs (R package effects)
and to check the assumptions of the model (R package DHARMa)

For the full list of our courses and workshops, please visit: (
https://www.physalia-courses.org/courses-workshops/glmms-in-r/ )

Best regards, Carlo

Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846

"info@physalia-courses.org" <info@physalia-courses.org>

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