We invite you to join the 5?day hybrid course ?*Introduction to linear
mixed-effects models and GLMM with R*?, held at Murdoch University,
Perth and live online via Zoom on 9?13 February 2026, 09:00?16:00 (AWST).
Taught by Dr. Elena Ieno and Dr. Alain Zuur (Highland Statistics Ltd) ?
authors of 12 books and providers of over 250 courses ? this course will
give you the tools and confidence to analyse complex ecological and
environmental data.
Flyer: https://www.highstat.com/Courses/Flyers/Flyer2026_02_Murdoch_GLMM.pdf
*What the course covers
*
* Data exploration and a step?by?step revision of multiple linear
regression in R
* Linear mixed-effects models for nested/clustered data (random
intercepts and slopes)
* GLMMs for:
o Count data (Poisson, negative binomial, generalised Poisson)
o Binary and proportional data (Bernoulli, binomial, beta)
o Continuous data with and without zeros (Gaussian, gamma, Tweedie)
* Model selection, diagnostics (including DHARMa), interpretation, and
visualisation
* (Time allowing) basic power analysis for choosing numbers of
clusters and observations
Around 15 hands-on R exercises use real fisheries, aquatic and
ecological datasets, with all code and data provided.
*
*
*Format, materials and support*
* Hybrid delivery: attend in person at Murdoch University or join live
via Zoom
* Fee: ?500, including all course materials. With 50% reduction for
participants from developing countries.
* Extras:
o 1?hour one?to?one video chat with the instructors after the
course to discuss your own data.
o Access to a course website for 12 months, with on?demand videos
for most exercises and all theory presentations.
*Who should attend
*Researchers, practitioners and students in ecology, fisheries,
environmental science and related fields with a working knowledge of R,
multiple linear regression, and basic GLMs.
*Registration
*For full details and to register, please visit:
https://www.highstat.com/index.php/joine-an-onsite-course
For questions, contact highstat at highstat.com.
We hope you can join us in February 2026.
Best regards,
Alain Zuur