Jianan Zhu, Jeffrey Zhang, Zijian Guo, and Siyu Heng.
Jianan Zhu (Email: jz4698@nyu.edu)
RIIM is an R package for randomization-based inference for average treatment effects under inexact matching introduced in Zhu, Zhang, Guo and Heng (2024).
To install package RIIM in R from GitHub, please run the following commands:
library(xgboost)
library(MASS)
library(mvtnorm)
library(VGAM)
library(optmatch)
install.packages("devtools")
library(devtools)
install_github("zoezhu098/RIIM")
library(RIIM)Zhu, J., Zhang, J., Guo, Z., & Heng, S. (2024). Randomization-Based Inference for Average Treatment Effect in Inexactly Matched Observational Studies. arXiv preprint, arXiv:2308.02005.
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