Description
Improving Estimation Efficiency in CAR with Imperfect Compliance.
Description
We provide a list of functions for replicating the results of the Monte Carlo simulations and empirical application of Jiang et al. (2022). In particular, we provide corresponding functions for generating the three types of random data described in this paper, as well as all the estimation strategies. Detailed information about the data generation process and estimation strategy can be found in Jiang et al. (2022) <doi:10.48550/arXiv.2201.13004>.
README.md
drcarlate
The goal of "drcarlate" is to provides a list of functions for replicating the data simulation portion in Jiang et al.(2022).
Installation
You can install the development version of drcarlate like so:
# The easiest way to get drcarlate is to install from CRAN
install.packages("drcarlate")
Example
See "Introduction to drcarlate" for details.
Reference
Jiang L, Linton O B, Tang H, Zhang Y. Improving estimation efficiency via regression-adjustment in covariate-adaptive randomizations with imperfect compliance [J]. 2022.
library(drcarlate)