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A beginner's guide to GLM and GLMM with R : a frequentist and Bayesian perspective for ecologists

By: Hilbe, Joseph M. Leno, Elena N. Zuur, Alain F.

Part of the A Beginner's Guide to series
0957174136 / 9780957174139
Paperback
519.54
01/11/2013
Usually dispatched within 4 weeks
24 cm xiv, 253 pages : illustrations (black and white)
Postgraduate, Research & Scholarly  Learn More
Published in Scotland.

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.

BIC:

PBT Probability & statistics, PSAF Ecological science, the Biosphere

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