Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition Julian J. Faraway is an English-language textbook on advanced statistical models. This book focuses on applications and extensions of the linear model with R, with an emphasis on generalized linear, mixed effects, and nonparametric regression models.
This second edition includes extensive coverage of binomial and proportion responses, Poisson and zero-inflated count models, and robust estimation. In addition, chapters on random effects, generalized linear mixed models, and nonparametric regression have been updated. New material includes, among other things, Bayesian analysis with STAN, random forests, and improved visualizations with ggplot2. The book combines theory with practice and offers extensive exercises with solutions.
The content aligns with topics such as probability & statistics and nonparametric regression within statistics. It is a valuable reference work for students and professionals in statistics and applied mathematics.
Series: Chapman & Hall/CRC Texts in Statistical Science