Package: BACprior
Type: Package
Title: Choice of Omega in the BAC Algorithm
Version: 2.1.2
Date: 2025-08-28
Authors@R: c(person("Denis", "Talbot", role = c("aut", "cre"),
                    email = "denis.talbot@fmed.ulaval.ca",
                    comment = "main author of original code and maintainer"),
             person("Genevieve", "Lefebvre", role = "aut",
                    email = "lefebvre.gen@uqam.ca",
                    comment = "revision of original code"),
             person("Juli", "Atherton", role = "aut",
                    email = "atherton.juli@uqam.ca",
                    comment = "revision of original code"))
Author: 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)
Maintainer: Denis Talbot <denis.talbot@fmed.ulaval.ca>
Description: 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).
License: GPL (>= 2)
Depends: mvtnorm, leaps, boot
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-28 21:04:00 UTC; denis
Repository: CRAN
Date/Publication: 2025-08-28 21:30:02 UTC
Built: R 4.6.0; ; 2025-09-01 03:00:58 UTC; unix
