Dear all,
We are excited to announce our upcoming online course on "Ecological Time Series Analysis and Forecasting in R" scheduled from May 27-31, 2024.
Course website: [ https://www.physalia-courses.org/courses-workshops/time-series-in-r/ ]( https://www.physalia-courses.org/courses-workshops/time-series-in-r/ )
This course delves into the nuances of time series analysis and forecasting in applied ecology. Unlike traditional approaches, we focus on leveraging the flexibility of Bayesian modeling using Stan and packages like {mvgam} and {brms}. Participants will learn to handle ecological data complexities, including overdispersion, clustering, missingness, discreteness, and nonlinear effects.
Participants should have a basic knowledge of regression, including linear models, generalized linear models, and hierarchical effects. Familiarity with RStudio and proficiency in programming R code are prerequisites.
Learning Outcomes:
Understand dynamic GLMs and GAMs for capturing nonlinear covariate effects and temporal dependence.
Fit dynamic GLMs and GAMs in R using {mvgam} and {brms}.
Critique, visualize, and compare fitted dynamic models.
Produce forecasts and evaluate their accuracies using probabilistic scoring rules.
All course materials, including presentations, exercises, data files, and R scripts, will be provided electronically to participants.
Best regards,
Carlo
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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
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