Dear all,
registration is now open for the course time series analysis and forecasting in
R!
Dates: online, 4-8 September
Course website: [
https://www.physalia-courses.org/courses-workshops/time-series-in-r/ ](
https://www.physalia-courses.org/courses-workshops/time-series-in-r/ )
In this course you will learn how to wrangle, visualize and explore ecological
time series. You will also learn to use the {mvgam} and {brms} packages to
analyse a diversity of ecological time series to gain useful insights and
produce accurate forecasts. All course materials (presentations, practical
exercises, data files, and commented R scripts) will be provided electronically
to participants.
By the end of the course, participants will be able to:
1. Understand how dynamic GLMs and GAMs work to capture both nonlinear
covariate effects and temporal dependence
2. Be able to fit dynamic GLMs and GAMs in R using the {mvgam} and {brms}
packages
3. Understand how to critique, visualize and compare fitted dynamic models
4. Know how to produce forecasts from dynamic models and evaluate their
accuracies using probabilistic scoring rules
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
i...@physalia-courses.org
mobile: +49 17645230846
Follow us on [ Twitter ]( https://twitter.com/Physacourses ) & [ Mastodon ](
https://mas.to/@PhysaliaCourses )
[[alternative HTML version deleted]]
_______________________________________________
R-sig-ecology mailing list
R-sig-ecology@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
