BACprior: Choice of the Hyperparameter Omega in the Bayesian Adjustment for Confounding (BAC) Algorithm

The BACprior package provides an approximate sensitivity analysis of the Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) with regards to the hyperparameter omega. The package 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).

Version: 2.0
Depends: mvtnorm, leaps, boot
Published: 2014-11-20
Author: Denis Talbot, Geneviève Lefebvre, Juli Atherton
Maintainer: Denis Talbot <denis.talbot at fmed.ulaval.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: BACprior results

Downloads:

Reference manual: BACprior.pdf
Package source: BACprior_2.0.tar.gz
Windows binaries: r-devel: BACprior_2.0.zip, r-release: BACprior_2.0.zip, r-oldrel: BACprior_2.0.zip
OS X Snow Leopard binaries: r-release: BACprior_2.0.tgz, r-oldrel: BACprior_2.0.tgz
OS X Mavericks binaries: r-release: BACprior_2.0.tgz
Old sources: BACprior archive