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rbounds  

Perform Rosenbaum Bounds Sensitivity Tests for Matched and Unmatched Data
View on CRAN: Click here


Download and install rbounds package within the R console
Install from CRAN:
install.packages("rbounds")

Install from Github:
library("remotes")
install_github("cran/rbounds")

Install by package version:
library("remotes")
install_version("rbounds", "2.2")



Attach the package and use:
library("rbounds")
Maintained by
Luke J. Keele
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-10-01
Latest Update: 2022-04-29
Description:
Takes matched and unmatched data and calculates Rosenbaum bounds for the treatment effect. Calculates bounds for binary outcome data, Hodges-Lehmann point estimates, Wilcoxon signed-rank test for matched data and matched IV estimators, Wilcoxon sum rank test, and for data with multiple matched controls. The sensitivity analysis methods in this package are documented in Rosenbaum (2002) Observational Studies, , Springer-Verlag.
How to cite:
Luke J. Keele (2008). rbounds: Perform Rosenbaum Bounds Sensitivity Tests for Matched and Unmatched Data. R package version 2.2, https://cran.r-project.org/web/packages/rbounds. Accessed 12 Mar. 2026.
Previous versions and publish date:
0.1 (2008-10-01 15:26), 0.2 (2009-01-28 18:06), 0.3 (2009-05-24 10:37), 0.4 (2009-10-23 08:41), 0.5 (2010-08-17 20:47), 0.7 (2011-04-24 08:58), 0.9 (2011-10-11 17:24), 2.0 (2014-01-25 00:40), 2.1 (2014-12-08 07:23)
Other packages that cited rbounds R package
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Complete documentation for rbounds
Functions, R codes and Examples using the rbounds R package
Some associated functions: FisherSens . SumTestSens . angristlavy . binarysens . hlsens . iv_sens . mcontrol . print.rbounds . psens . 
Some associated R codes: FisherSens.R . SumTestSens.R . binarysens.R . hlsens.R . iv_sens.R . mcontrol.R . print.rbounds.R . psens.R .  Full rbounds package functions and examples
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