ATEDGP: Simulates the data for ATE estimators

In drcarlate: Improving Estimation Efficiency in CAR with Imperfect Compliance

Simulates the data for ATE estimators

Description

ATEDGP is the version of FuncDGP under full compliance.

Usage

ATEDGP(dgptype, rndflag, n, g, pi)

Arguments

dgptype	A scalar. 1, 2, 3 (Almost the same as 1-3 in the paper except that it does not have the DGP for D(1) or D(0)).
rndflag	A scalar. method of covariate-adaptive randomization. 1-SRS; 2-WEI; 3-BCD; 4-SBR.
n	Sample size.
g	Number of strata. The authors set g = 4 in the Jiang et al. (2022).
pi	A g x 1 vector. Targeted assignment probabilities across strata.

Value

ATEDGP returns a list containing 7 nx1 vectors named Y, X, S, A, Y1, Y0 and D. These seven vectors are the same as defined in Jiang et al. (2022). Note that vector X does not contain the constant term.

References

Jiang L, Linton O B, Tang H, Zhang Y. Improving estimation efficiency via regression-adjustment in covariate-adaptive randomizations with imperfect compliance [J]. 2022.

Examples

ATEDGP(dgptype = 1, rndflag = 1, n = 200, g = 4, pi = c(0.5, 0.5, 0.5, 0.5))

drcarlate documentation built on July 9, 2023, 6:16 p.m.