CV.TGST: Cross Validation
In yizhenxu/TVLT: Targeted Gold Standard Testing

Description Usage Arguments Value Examples

This function allows you to compute the average of misdiagnoses rate for viral failure and the optimal risk under min-λ rules from K-fold cross-validation.

1	CV.TGST(Obj, lambda, K = 10)

`Obj`	An object of class TGST.
`lambda`	A user-specified weight that reflects relative loss for the two types of misdiagnoses, taking value in [0,1]. Loss=λI(FN)+(1-λ)I(FP).
`K`	Number of folds in cross validation. The default is 10.

Cross-validation results.

d = Simdata
Z = d$Z # True Disease Status
S = d$S # Risk Score
phi = 0.1 #10% of patients taking viral load test
Obj = TGST(Z, S, phi, method="nonpar")
lambda = 0.8
CV.TGST(Obj, lambda, K=10)