A Beginner's Guide to GLM and GLMM with R
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.
| Pm Supplier | Highland Statistics Ltd |
|---|---|
| Pm Publisher | Highland Statistics Ltd. |
| Pm Isbn 10 | 0957174136 |
| Pm Isbn 13 | 9780957174139 |
| Pm Publication Date | 2013-05-01 |
| Pm Width | 156 |
| Pm Height | 233 |
| Pm Author | Zuur,Alain F, Hilbe,Joseph M, Ieno,Elena N |
| Pm Longness | 0 |
- A Frequentist and Bayesian Perspective for Ecologists
- Key Info: b/w illustrations
- Author: Zuur,Alain F, Hilbe,Joseph M, Ieno,Elena N
- Page Count: 256
- Publication Date: 2013-05-01
A Beginner's Guide to GLM and GLMM with R
- A Frequentist and Bayesian Perspective for Ecologists
- Key Info: b/w illustrations
- Author: Zuur,Alain F, Hilbe,Joseph M, Ieno,Elena N
- Page Count: 256
- Publication Date: 2013-05-01
