Choice of Omega in the BAC Algorithm R package BACprior version 2.1.2 The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) can be used to estimate the causal effect of a continuous exposure on a continuous outcome. This package provides an approximate sensitivity analysis of BAC with regards to the hyperparameter omega. BACprior also provides functions to guide the user in their choice of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014). Software Depends: mvtnorm, leaps, boot Denis Talbot <denis.talbot@fmed.ulaval.ca> Comprehensive R Archive Network (CRAN) Denis Talbot [aut, cre] (main author of original code and maintainer), Genevieve Lefebvre [aut] (revision of original code), Juli Atherton [aut] (revision of original code) GPL (>= 2) 2025-08-28 application/tgz https://CRAN.R-project.org/package=BACprior doi:10.32614/CRAN.package.BACprior