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/ ](
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/ ](
https://www.physalia-courses.org/courses-workshops/glmms-in-r/ )
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
i...@physalia-courses.org
mobile: +49 17645230846
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