Nonparametric models for longitudinal data: With implementation in R.

The book I Nonparametric Models for Longitudinal Data with Implementation in R i written by Dr. Colin Wu and Dr. Xin Tian contains 15 Chapters categorized in five Parts. The authors systematically discuss the one-step kernel and local polynomial smoothing methods, and then they introduce two-step smoothing methods and provide the rationales for two-step smoothing methods. The authors can add "one-step kernel log likelihood method" for smoothing estimation of time-variant parametric models between Chapters 7 and 8. [Extracted from the article]