README.md

In siyuheng/SuperAdap: The Two-Stage Programming Method in Matched Observational Studies

SuperAdap: The Two-Stage Programming Method in Matched Observational Studies

Author

Siyu Heng, Hyunseung Kang, Dylan S. Small, and Colin B. Fogarty

Maintainer

Siyu Heng (Email: [e-mail])

Description

SuperAdap is an R package for performing a sensitivity analysis in matched observational studies with the two-stage programming method proposed in the paper "Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach" by Heng, Kang, Small, and Fogarty.

Before installing this R package, please ensure that you have installed the following three R packages: gurobi, Matrix, mvtnorm. To install this package in R from GitHub, please run the following commands:

install.packages("devtools") 
library(devtools) 
install_github("siyuheng/SuperAdap")

Reference

Heng, S., Kang, H., Small, D. S., and Fogarty, C. B. (2021). "Increasing power for observational studies of aberrant response: an adaptive approach." Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83(3), 482-504.

siyuheng/SuperAdap documentation built on April 30, 2022, 5:11 p.m.