Dear all, We wanted to inform you that there are only 3 seats left for the upcoming course on "GENERALISED LINEAR MIXED MODELS IN R" Dates: Online 9th-13th October 2023 Course website: [ https://www.physalia-courses.org/courses-workshops/glmms-in-r/ ]( https://www.physalia-courses.org/courses-workshops/glmms-in-r/ ) In this course you will learn to specify, interpret, and validate linear and generalized linear mixed models. The focus is on producing a valid and defensible analysis of experimental or observational data in an applied research context in R, with an emphasis on the lme4 and glmmTMB regression packages.
By the end of this course, you will: 1. Deepen your understanding of fundamental regression concepts. 2. Grasp the components of the GLMM framework, including distributions, random effects, variance structures, and correlation structures. 3. Gain the ability to choose the appropriate model structure for your applied analysis. 4. Learn how to visualize fitted GLMMs and assess model assumptions. Should you have any questions, please do not hesitate to contact us. 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
