Functional Data Analysis with R
Modern Functional Data Analysis consists of the development of robust statistical methods and reproducible software for model implementation and visualization. The goal of this website is to provide the code and software to implement statistical methods and reproduce the analysis presented in the book “Functional Data Analysis with R” by Crainiceanu, Goldsmith, Leroux, Cui.
Measurement Error in Nonlinear Models
It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped
Methods in Biostatistics with R
The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment.