*Want to Learn Generalized Linear Mixed Models?*
Build strong, practical skills in *mixed effects modelling in R*—from core GLMM concepts to advanced Bayesian hierarchical models. Our *on-demand courses* are designed for ecologists, scientists, analysts, and applied researchers who want rigorous methods with real-world relevance. *Choose the course that fits your needs:* ------------------------------ *FREE COURSE Introduction to Generalised Linear Mixed Models for Ecologists <https://prstats.org/course/free-course-introduction-to-generalised-linear-mixed-models-for-ecologists-fmmepr/>* A concise online introduction to Generalised Linear Mixed Models (GLMMs) in R, tailored for ecologists and applied scientists. - Understand fixed and random effects - Fit and interpret GLMMs - Learn mixed effects modelling in under 4 hours ------------------------------ *Introduction to Mixed Models <https://prstats.org/course/introduction-to-mixed-models-immrpr/>* A practical, on-demand introduction to *linear and generalised mixed models in R*. - Multilevel modelling - Nested and crossed designs - Random effects - Introduction to Bayesian approaches ------------------------------ *Bayesian Approaches to Regression and Mixed Effects Models Using brms <https://prstats.org/course/bayesian-approaches-to-regression-and-mixed-effects-models-using-brms-barmpr/>* Learn how to fit *Bayesian regression and mixed models in R* using the brms package. - Modern Bayesian workflows - Flexible model specification - Applied examples for real data ------------------------------ *Introduction to Bayesian Hierarchical Modelling <https://prstats.org/course/introduction-to-bayesian-hierarchical-modelling-ibhmpr/>* A comprehensive *24-hour on-demand course* using R, JAGS, and Stan. - Bayesian hierarchical models - Analysis of complex structured data - Ideal for scientists and data analysts ------------------------------ *Learn at your own pace. Apply methods with confidence. Build better models.* Email [email protected] with any questions -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
