SAMU

Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding

Description

This is the source code for the SAMU package in R. SAMU is a package aimed at providing a novel sensitivity model to investigate the effect of correlated multiple exposures on the continuous health outcomes of interest. Given a user-specified sensitivity parameters, the sensitivity interval is calculated. See reference for details.

Reference

Jeong B, Lee S, Ye S, Lee D, Lee W (2024): Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding. submitted.

Installation

Current GitHub release:

Installation using R package remotes:

if (!require("remotes", quietly=TRUE)) install.packages("remotes") # if devtools not already installed
remotes::install_github("seungjae2525/SAMU")
library(SAMU)

Bug Reports:

You can also report bugs on GitHub under Issues.