[BioC] MLInterfaces, CMA, or Caret for censored survival?

[Levi Waldron]

Does anyone have experience or thoughts on the suitability of any of
these general ML packages for implementing methods for risk prediction
with a censored time to event response?  I would like a framework for
high-dimensional model tuning, nested cross-validation, prediction on
new data, and model evaluation using for example C-statistic, for
arbitrary algorithms in the survival context.

-- 
Levi Waldron
Post-doctoral fellow
Department of Biostatistics
Harvard School of Public Health
Building 1, room 412C
655 Huntington Avenue
Boston, Massachusetts 02115
phone: (617) 432-4926
fax: (617) 432-5619