Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models - 124 (Second edition.)

This book surveys the techniques that grow from the regression model, and presents three extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author's treatment is thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural networks in statistics. The new edition has been thoroughly revised to bring all the topics and R code up to date.