IIMYC   23581
INSTITUTO DE INVESTIGACIONES MARINAS Y COSTERAS
Unidad Ejecutora - UE
capítulos de libros
Título:
GLM applied on presence-absence polychaeta data
Autor/es:
ZUUR, AF; HILBE, JM; BASTIDA, R; DENUNCIO, P; TRASSENS, M; IENO, EN
Libro:
A Beginner's Guide to GLM and GLMM with R: A Frequentist and Bayesian Perspective for Ecologists
Editorial:
Highland Statistics Ltd
Referencias:
Lugar: Newburgh; Año: 2013; p. 89 - 114
Resumen:
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.