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

Zuur, Alain F.; Hilbe, Joseph M.; Leno, Elena N.

Couverture souple

ISBN 10 : 0957174136 ISBN 13 : 9780957174139

Editeur : Highland Statistics Ltd, 2013

Synopsis

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.

Détails de l'édition

• Éditeur: Highland Statistics Ltd
• Date d'édition: 2013
• Langue: anglais
• ISBN 10: 0957174136
• ISBN 13: 9780957174139
• Reliure: Broché
• Nombre de pages: 270
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible