BACprior: Sensitivity of the Bayesian Adjustment for Confounding (BAC) algorithm to the choice of hyperparameter omega

The BACprior package provides an approximate sensitivity analysis of the Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) with regards to hyperparameter omega. The method is based on Lefebvre, Atherton and Talbot (2013).

Version: 1.2.1
Depends: mvtnorm, leaps
Published: 2013-02-16
Author: Denis jf Talbot, Geneviève Lefebvre, Juli Atherton
Maintainer: Denis jf Talbot <talbot.denis at courrier.uqam.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_1.2.1.tar.gz
Windows binaries: r-devel: BACprior_1.2.1.zip, r-release: BACprior_1.2.1.zip, r-oldrel: BACprior_1.2.1.zip
OS X Snow Leopard binaries: r-release: BACprior_1.2.1.tgz, r-oldrel: BACprior_1.2.1.tgz
OS X Mavericks binaries: r-release: BACprior_1.2.1.tgz
Old sources: BACprior archive