Dear all,

registrations are now open for the Physalia course on Generalized Additive
Models in R.

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

Dates: (online) January 20-24

The course will provide an applied introduction to generalized additive
modelling in R for biologists. Most of the statistical methods you are
likely to have encountered will have specified fixed functional forms
for the relationships between covariates and the response, either
implicitly or explicitly. These might be linear effects or involve
polynomials. Generalized additive models (GAMs) are different; they
build upon the generalized linear model by allowing the shapes of the
relationships between response and covariates to be learned from the
data using splines. Modern GAMs are a general data analysis framework,
encompassing many models as special cases, including GLMs and GLMMs,
and the variety of splines available to users allows GAMs to be used in
surprisingly large situations. In this course we'll show you how to
leverage the power and flexibility of splines to go beyond parametric
modelling techniques like GLMs.

For the full list of our courses and workshops, please have a look at:
( https://www.physalia-courses.org/courses-workshops/gams-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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