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Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these flexible tools. The author's approach is based on a framework of penalized regression splines, and he builds the necessary foundation through motivating chapters on linear and generalized linear models. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. An R package containing the featured datasets is freely available on the Internet. OTI #1: C424X