opt.dose: Optimal Interval-valued Dose under the Individualized...

In JQL: Jump Q-Learning for Individualized Interval-Valued Dose Rule

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’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

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)

JQL documentation built on Nov. 16, 2019, 1:07 a.m.