BACprior: Choice of Omega in the BAC Algorithm

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).

Package details

AuthorDenis Talbot, Genevieve Lefebvre, Juli Atherton
MaintainerDenis Talbot <denis.talbot@fmed.ulaval.ca>
LicenseGPL (>= 2)
Version2.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BACprior")

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BACprior documentation built on Oct. 11, 2023, 1:07 a.m.