If you wish to support us financially, you can order a printed copy of the book from Routledge or, better still, from your local bookseller who would benefit greatly from your patronage. Otherwise, you can download freely the complete PDF file (28 Mb).
On these pages you will find the R code to produce the figures in MVKSA. To run the code snippets, download the open source statistical analysis software R (available on Windows, Mac OS and Unix), and then the ks package. These snippets are grouped together according the data set under consideration, rather than being presented in the same order as they appear in the monograph. They have also been modified to be more modular so that they can be easily reused/adapted by users for their own analyses.
General questions about the kernel smoothing methods in MVKSA can be addressed to Prof. José Chacón or to Dr Tarn Duong. Specific queries about the R code can be sent to the second author since he is the maintainer of the ks package.
A/Prof Qing Wang (Wellesley College, USA) writes in the Journal of the American Statistical Association that "it was a great joy for me to review this book. It was written beautifully. The authors offered many valuable insights on multivariate kernel smoothing, which I found helpful. I am looking forward to having a copy on my bookshelf and I have no doubt that it will be my research reference book in the future." Read her complete review.