| TrueValue {drcarlate} | R Documentation |
Calculate the True LATE tau.
Description
Calculate the true LATE tau in Jiang et al. (2022).
Usage
TrueValue(dgptype, vIdx, n, g, pi)
Arguments
dgptype |
A scalar. The value can be string 1, 2, or 3, respectively corresponding to the three random data generation methods in the paper (See Jiang et al. (2022)for DGP details) |
vIdx |
A 1xR vector. The authors set vIdx=[1 2 3 4]. Every number declares the method of covariate-adaptive randomization which simulates the LATE across different CAR schemes: 1-SRS; 2-WEI; 3-BCD; 4-SBR. |
n |
Sample size. |
g |
Number of strata. The authors set g=4 in Jiang et al. (2022). |
pi |
Targeted assignment probability across strata. |
Value
A list containing two vectors named tau and mPort. tau is a 1xR vector which Simulated true LATE effect, mPort is a 3xR vector. The 1st row of mPort: the LATE of never takers across varies CAR schemes, the 2nd row of mPort: the LATE of compilers across varies CAR schemes, the 3rd row of mPort: the LATE of always takers across varies CAR schemes.
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
TrueValue(dgptype = 1, vIdx = c(1,2,3,4), n=100, g = 4, pi = c(0.5,0.5,0.5,0.5))
TrueValue(dgptype = 2, vIdx = c(1,2,3,4), n=100, g = 4, pi = c(0.5,0.5,0.5,0.5))
TrueValue(dgptype = 3, vIdx = c(1,2,3,4), n=100, g = 4, pi = c(0.5,0.5,0.5,0.5))