SimpleTable: Bayesian Inference and Sensitivity Analysis for Causal Effects from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured Confounding

SimpleTable provides a series of methods to conduct Bayesian inference and sensitivity analysis for causal effects from 2 x 2 and 2 x 2 x K tables when unmeasured confounding is present or suspected.

Version: 0.1-1
Depends: R (≥ 2.5.1), hdrcde, locfit, MCMCpack, tcltk
Published: 2008-09-06
Author: Kevin M. Quinn,
Maintainer: Kevin M. Quinn <kevin_quinn at harvard.edu>
License: GPL-2
In views: Bayesian
CRAN checks: SimpleTable results

Downloads:

Package source: SimpleTable_0.1-1.tar.gz
MacOS X binary: SimpleTable_0.1-1.tgz
Windows binary: SimpleTable_0.1-1.zip
Reference manual: SimpleTable.pdf