TGST (version 1.0)

CV.TGST: Cross Validation

Description

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

Usage

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

Arguments

Obj

An object of class TGST.

lambda

A user-specified weight that reflects relative loss for the two types of misdiagnoses, taking value in \([0,1]\). \(Loss=\lambda*I(FN)+(1-\lambda)*I(FP)\).

K

Number of folds in cross validation. The default is 10.

Value

Cross-validation results.

Examples

# NOT RUN {
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)
# }