This is a test version of Biostars. For the public version, visit https://www.biostars.org.
News: Online course: Generalized Additive Models (GAMs) in R

Dear all,

registrations are now open for our course on Generalized Additive Models (GAMs) in R in April (22nd-26th).


Course website: https://www.physalia-courses.org/courses-workshops/gams-in-r-2/


Who is this for?

Designed for graduate students and researchers with some statistical knowledge, this course caters to those familiar with generalized linear models, likelihood, and AIC. If you're a bit rusty on these concepts, worry not – we'll provide a quick recap. Familiarity with RStudio and basic R programming skills are essential.

Learning Outcomes:

  • Understand practical aspects of GAMs for learning relationships from data.

  • Fit GAMs in R using the mgcv and brms packages.

  • Differentiate between types of splines and determine their optimal use.

  • Visualize fitted GAMs and validate model assumptions.


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

r statistics gams

0 answers

No answers yet.

Log in to answer this question.