A Modified Random Survival Forest Algorithm

Documentation for package ‘icRSF’ version 1.1

icRSF1.1-package	Implements the icRSF algorithm to calculate variable importance
icrsf	Permutation-based variable importance metric for high dimensional datasets appropriate for time to event outcomes, in the presence of imperfect self-reports or laboratory-based diagnostic tests.
icRSF1.1	Implements the icRSF algorithm to calculate variable importance
pheno	A longitudinal data with diagnostic results for pre-determined time
simout	Simulate error-prone test results for a user-defined vector of test times for each of the N subjects, for a user input NxP design matrix (Xmat).
Xmat	A covariate matrix