pihat: Compute Estimated Treatment Assignment Probabilities

In drcarlate: Improving Estimation Efficiency in CAR with Imperfect Compliance

Compute Estimated Treatment Assignment Probabilities

Description

Pihat computes the targeted treatment assignment probabilities across all strata in Jiang et al. (2022) and stacks them in an nx1 vector.

Usage

pihat(A, S, stratnum = NULL)

Arguments

A	A nx1 vector.
S	A nx1 vector.
stratnum	A nx1 vector about the unique strara numbers, the default value is NULL.

Value

A nx1 cector, each element corresponds to the targeted treatment assignment probabilities across all strata in Jiang et al. (2022).

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

DGP <-FuncDGP(dgptype = 1,rndflag = 2,n = 100,g = 4,pi = c(0.5, 0.5, 0.5, 0.5))
A <- DGP[["A"]]
S <- DGP[["S"]]
pihat(A = A, S = S)

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