Simulated Example

In SAMGEP: A Semi-Supervised Method for Prediction of Phenotype Event Times

library(SAMGEP)
library(pROC)

samgep_result <- with(
  simdata, samgep(dat_train=trainSet, dat_test=testSet, Cindices=6:160, lambda=0.05, r=0.25,
                  alpha=0.5, V=embeddings, observed=unique(trainSet$ID)[1:50], nCores=1))

samgep_auc <- pROC::auc(simdata$testSet$Y, samgep_result$margMix)
print(paste('AUC:',round(samgep_auc,digits=3)))

SAMGEP documentation built on Jan. 6, 2021, 5:08 p.m.