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This book takes the reader through the subject of generalised additive mixed effects models (GAMMs) in R. The book assumes that the reader is familiar with R, data exploration, multiple linear regression, generalised linear modelling, generalised additive modelling, linear mixed effects modelling, and Markov chain Monte Carlo (MCMC) techniques. It has been written as a sequel to A Beginner's Guide to Generalized Additive Models with R and A Beginner’s Guide to GLM and GLMM with R. If the reader is familiar with the material described in those two books, then the current volume is indeed a ‘Beginner’s Guide’, otherwise the learning curve may be steep.
Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistics consultancy based in the UK. He is the author of seven books on the analysis of ecological data. He has extensive experience teaching statistical methods to ecologists and environmental scientists in academic and nonacademic courses worldwide.
Anatoly A. Saveliev is a professor at the Institute of Ecology and Geography at Kazan Federal State University, Russian Federation, where he teaches GIS and statistics. He also provides consultancy in statistics, GIS and remote sensing, and spatial modelling, and software development in these areas.
Elena N. Ieno is senior marine biologist at Highland Statistics Ltd. She teaches data analysis to ecologists and has shown the ability to challenge the gap between both disciplines. She is co-author of six books on analysis of ecological data.
