Highland Statistics Ltd

Latest news

Starting in June, July and August 2020: Online courses with on-demand video and live Zoom meetings:

  • Data Exploration, Regression, GLM & GAM with an introduction to R.
  • Linear Mixed-Effects Models and GLMM with R-INLA.
  • Introduction to Regression Models with Spatial Correlation using R-INLA.
  • Introduction to Zero Inflated Models using R-INLA.
  • Zero-inflated GAMs and GAMMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. 

See highstat.com for details.

Beginner's Guide to GLM and GLMM with R (2013). Zuur AF, Hilbe JM and Ieno EN

This book presents generalized linear models (GLM) and generalized linear mixed models (GLMM) based on both frequency-based and Bayesian concepts.

Using ecological data from real-world studies, the text introduces the reader to the basics of GLM and mixed effects models, with demonstrations of Gaussian, binomial, gamma, Poisson, negative binomial regression, beta and beta-binomial GLMs and GLMMs.

Visit the website of this book to download data, R code, the table of content, and information how to purchase this book.