Impute data according to Heinze et al. method. Output is supposed to be passed to permute.heinze
imputeHeinze(data, pool = TRUE)matrix as returned by as.matrix(generateData(param))
if TRUE impute events times from pooled Kaplan-Meier estimator (default: TRUE)
list containing Kaplan-Meier estimators of censoring and survival distributions and the original data
Heinze, G., Gnant, M. and Schemper, M. Exact Log-Rank Tests for Unequal Follow-Up. Biometrics, 59(4), December 2003.