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).


Reference manual

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install.packages("BACprior")

2.1.2 by Denis Talbot, a year ago


Browse source code at https://github.com/cran/BACprior


Authors: 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)


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on mvtnorm, leaps, boot


See at CRAN