Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
R Scripts and supporting data for creating metamodels, as published in Ecosphere, and using them to generate global estimates of potato late blight risk based on climate data as published in Global Change Biology.
Spline regression and additive models (Simple introduction with C++). We provide an example of C++ implementation of additive regression splines through Rcpp and RcppArmadillo.