README.md

In siyuheng/RIOM: Randomization Inference with Outcome Misclassification

RIOM: Randomization Inference with Outcome Misclassification

Author

Siyu Heng and Pamela A. Shaw

Maintainer

Siyu Heng (Email: [e-mail])

Description

RIOM is an R package for randomization inference with outcome misclassification, which includes the calculation of warning accuracy and sensitivity weights introduced in Heng and Shaw (2022).

Before installing this R package, please ensure that you have installed the following two R packages: gurobi and mgcv. To install package RIOM in R from GitHub, please run the following commands:

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

Reference

Heng, S. and Shaw, P. A. (2022). "A model-free and finite-population-exact framework for randomized experiments subject to outcome misclassification via integer programming." arXiv:2201.03111.

siyuheng/RIOM documentation built on April 27, 2022, 12:05 a.m.