Dear all, we have the last 3 seats available for the upcoming 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/ ]( 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/ ]( https://www.physalia-courses.org/courses-workshops/gams-in-r-2/ ) Best regards, Carlo --------------------
Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org mobile: +49 17645230846 [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology