An Introduction to Generalized Additive Models with R provides readers with a thorough understanding of the theory and practical applications of GAMs to enable informed use of these very flexible tools and other advanced related models. The author's approach is based on a framework of penalized regression splines, and he provides a gentle introduction through motivating chapters on linear and generalized linear models. The author uses the freely available R software throughout to explain the underlying theory and illustrate the practicalities of linear, generalized linear, and generalized additive models. The text is accompanied by a supporting Web site that contains R code and the datasets used in the book.
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lucid text book, fantastic intro to GAM, basic knowledge of GLM/GLMM are also included.
评分lucid text book, fantastic intro to GAM, basic knowledge of GLM/GLMM are also included.
评分Concise, clear, readable. To work on: Chap 4, 6
评分lucid text book, fantastic intro to GAM, basic knowledge of GLM/GLMM are also included.
评分lucid text book, fantastic intro to GAM, basic knowledge of GLM/GLMM are also included.
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