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 info at physalia-courses.org mobile: +49 17645230846 Follow us on [ Twitter ]( https://twitter.com/Physacourses ) & [ Mastodon ]( https://mas.to/@PhysaliaCourses )
Course: Time series analysis and forecasting in R
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