JQL (version 3.6.9)

opt.dose: Optimal Interval-valued Dose under the Individualized Interval-valued Dose Rule via (Residual) Jump Q-learning.

Description

This function assigns each individual to one of the subintervals of the entire dosage according to his/her baseline covariates under the estimated I2DR.

Usage

opt.dose(X,I2DR)

Arguments

X

The patient<U+2019>s baseline covariates, coule be a matrix, including continous or discrete covariates.

I2DR

The Individualized Interval-valued Dose Rule found by the function "JQL" or "RJQL".

Value

opt.dose

The optimal Interval-valued dosage for each individual.

References

Jump Q-learning for Individualized Interval-valued Dose Rule.

Examples

# NOT RUN {
n=50
d=4
x=matrix(runif(n*(d-1),-1,1),nrow=n,ncol=d-1)
a=runif(n,0,1)
y=(1+x[,1])*(a>=0&a<0.35)+(x[,1]-x[,2])*(a>=0.35&a<0.65)+(1-x[,2])*(a>=0.65&a<=1)+rnorm(n,0,1)
rule=find.I2DR(Y=y,A=a,X=x)
n0=10
xnew=matrix(runif(n0*(d-1),-1,1),nrow=n0,ncol=d-1)
opt.dose(X=xnew,I2DR=rule)
# }