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R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
One important aspect of this package: Though it is maintained by Martin Maechler, the idea is that the whole "robustnik" community contributes to it and builds its own R packages with a 'Depends: robustbase' entry, i.e., reusing all the example datasets and basic robustness functions procedures from robustbase.
The project summary page you can find here.