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 binomial, gamma, Poisson, negative binomial regression, and beta and beta-binomial GLMs and GLMMs. The book uses the functions glm, lmer, glmer, glmmADMB, and also JAGS from within R. JAGS results are compared with frequentist results. R code to construct, fit, interpret, and comparatively evaluate models is provided at every stage. Otherwise challenging procedures are presented in a clear and comprehensible manner with each step of the modelling process explained in detail, and all code is provided so that it can be reproduced by the reader.

A Beginner's Guide to GLM and GLMM with R: A Frequentist and Bayesian Perspective for Ecologists

Alan F. Zurr

Joseph M. Hilbe

Elena N. Ieno

Highland Statistics Ltd.

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Books by Alan F. Zurr

See the best price to sell, buy, or rent books by Alan F. Zurr. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

A Beginner's Guide to GLM and GLMM with R: A Frequentist and Bayesian Perspective for Ecologists