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Online course: Generalized Additive Models (GAMs) in R
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Carlo Pecoraro
Jan 14, 2024, 6:17:54 AM1/14/24
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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/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
in...@physalia-courses.org
mobile: +49 17645230846
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/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
in...@physalia-courses.org
mobile: +49 17645230846
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