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

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A Beginner's Guide to GLM and GLMM with R: A Frequentist and Bayesian Perspective for Ecologists image
ISBN-10:

0957174136

ISBN-13:

9780957174139

Author(s): Alan F. Zurr; Joseph M. Hilbe
Edition: 0
Released: Jan 01, 2013
Publisher: Highland Statistics Ltd.
Format: Paperback, 0 pages
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Description:

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.

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