The R Foundation for Statistical Computing is participating in Google Summer of Code 2009. Based on the ideas list the following projects and students are selected and are sponsored by Google during summer 2008 (sorted alphabetically by student):
The aim of the project is the implementation of recursive partitioning methods ("trees") which aren't available in R at the moment. The student can choose a method to begin with from a larger set of interesting algorithms.
The aim of this project is the (1) implementation of software metrics to analyze R packages and (2) the creation of a CRAN software metrics monitor.
Create an information portal for the fast growing list of R packages, integrating package documentation and journal publications with feedback from the useR community.
The goal of this Summer of Code project is to (1.) extend the coverage of QuantLib code available to R by adding more wrapper functions to RQuantLib, and to (2.) provide additional functionality to QuantLib by leveraging the numerous statistical facilities in R -- this could be anything from standard to robust estimation methods, data visualization or report creation via tools like Sweave.