[R-sig-eco] Online training - Generalised Additive Models in R

[i@io m@iii@g oii phys@ii@-courses@org]

Dear all,
 
 
 
registration is now open for the 2nd edition of the Generalised Additive Models in R course: [ https://www.physalia-courses.org/courses-workshops/gams-in-r/ ]( https://www.physalia-courses.org/courses-workshops/gams-in-r/ )
 
 
 
 
Dates: online, October, 10th-14th
 
 
 
The course is aimed at graduate students and researchers with some statistical knowledge; ideally you'll know something about generalized linear models, likelihood, and AIC. However we’ll recap what GLMs are so if you’re a little rusty or not everything mentioned in the GLM course makes sense, we have you covered. From running the course previously, knowing the difference between "fixed" and "random" effects, and what the terms "random intercepts" and "random slopes" are, will be helpful for the Hierarchical GAM topic, but we don't expect you to be an expert in mixed effects or hierarchical models to
 take this course.
 Participants should be familiar with RStudio and have some fluency in programming R code, including being able to import, manipulate (e.g. modify variables) and visualise data. There will be a mix of lectures, in-class discussion, and hands-on practical exercises along the course.
 
 
 
After completing the course, attendees will be in the condition to:
 
 
 
1.    Understand how GAMs work from a practical view point to learn relationships between covariates and response from the data
 2.    Be able to fit GAMs in R using the mgcv and brms packages
 3.    Know the differences between the types of splines and when to use them in your models
 4.    Know how to visualise fitted GAMs and to check the assumptions of the model
 
 
 
 
 
 
 
Full list of our Courses and Workshops: [ https://www.physalia-courses.org/courses-workshops ]( https://www.physalia-courses.org/courses-workshops )
 
 
 
 
 
 
 
Should you have any questions, please do not hesitate to contact us at: info using physalia-courses.org
 
 
 
Best regards,
 
 
 
 
 
 
 
Carlo
 
 
 

 
 
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846

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