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

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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.

Author
Kevin M. Quinn <kevin_quinn@harvard.edu>,
Date of publication
2012-06-03 06:07:30
Maintainer
Kevin M. Quinn <kquinn@law.berkeley.edu>
License
GPL-2
Version
0.1-2

View on CRAN

Man pages

analyze2x2
Analyze 2 x 2 Table in the Presence of Unmeasured Confounding
analyze2x2xK
Analyze 2 x 2 x K Table in the Presence of Unmeasured...
ConfoundingPlot
Confounding Plot of Quinn (2008)
ElicitPsi
Prior Elicitation for Analysis of 2 x 2 in Presence of...
plotSimpleTable
Summary plots of SimpleTable objects.
SimpleTable
Is object of class SimpleTable?
summarySimpleTable
Summary of SimpleTable objects

Files in this package

SimpleTable
SimpleTable/MD5
SimpleTable/README
SimpleTable/R
SimpleTable/R/zzz.R
SimpleTable/R/summary.R
SimpleTable/R/plot.R
SimpleTable/R/elicitPsi.R
SimpleTable/R/ConfoundingPlot.R
SimpleTable/R/analysis.R
SimpleTable/NAMESPACE
SimpleTable/man
SimpleTable/man/summarySimpleTable.Rd
SimpleTable/man/SimpleTable.Rd
SimpleTable/man/plotSimpleTable.Rd
SimpleTable/man/ElicitPsi.Rd
SimpleTable/man/ConfoundingPlot.Rd
SimpleTable/man/analyze2x2xK.Rd
SimpleTable/man/analyze2x2.Rd
SimpleTable/LICENSE
SimpleTable/HISTORY
SimpleTable/DESCRIPTION
SimpleTable/COPYING