get.performance         Get performance of feature selection
on.aic                  AIC from model built with KnowGRRF, functions
                        used in optimization to find scaling parameter
                        for rrf.opt.1 or rrf.opt.m
rf.once                 Build random forest once and return AUC for
                        both training and test set if available
rf.repeat               Build random forest multiple times and return
                        AUC for both training and test set if available
rrf.once                Feature selection by regularized random forest
                        and compare against full model
rrf.opt.1               KnowGRRF with weights from one knowledge domain
rrf.opt.m               KnowGRRF with weights from multiple knowledge
                        domain
select.stable           Select a set of stable features based on
                        frequency picked by GRRF.
select.stable.aic       Select a set of stable features based on AIC
                        after an initial selection by GRRF
write.roc               write test ROC to a data table.
