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: 0.1-2
Depends: R (≥ 2.5.1), hdrcde, locfit, MCMCpack, tcltk
Published: 2012-06-03
Author: Kevin M. Quinn,
Maintainer: Kevin M. Quinn <kquinn at law.berkeley.edu>
License: GPL-2
NeedsCompilation: no
Citation: NA
Materials: NA
In views: Bayesian
CRAN checks: SimpleTable results

Downloads:

Reference manual: SimpleTable.pdf
Package source: SimpleTable_0.1-2.tar.gz
Windows binaries: r-devel: SimpleTable_0.1-2.zip, r-release: SimpleTable_0.1-2.zip, r-oldrel: SimpleTable_0.1-2.zip
OS X Snow Leopard binaries: r-release: SimpleTable_0.1-2.tgz, r-oldrel: SimpleTable_0.1-2.tgz
OS X Mavericks binaries: r-release: SimpleTable_0.1-2.tgz
Old sources: SimpleTable archive