Fast Feature-wise Filtering for Survival Data Outcome

[DarioS]

Data sets with censored survival outcome rather than categorical classes are becoming more common compared to the time period in which genefilter was initially developed. Is there anyone who could contribute high-speed companion functions to rowFtests and colFtests, such as rowCoxTests and colCoxTests, that work for Surv objects rather than factors as the sample outcomes? I have not used C++ since undergraduate university level over a decade ago, so it is unfortunately not something which I could do well.