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rnr  

Rosenbaum and Rubin Sensitivity
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rnr", "0.2.1")



Attach the package and use:
library("rnr")
Maintained by
Jongbin Jung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-27
Latest Update: 2018-04-16
Description:
Apply sensitivity analysis for offline policy evaluation, as implemented in Jung et al. (2017) based on Rosenbaum and Rubin (1983) .
How to cite:
Jongbin Jung (2018). rnr: Rosenbaum and Rubin Sensitivity. R package version 0.2.1, https://cran.r-project.org/web/packages/rnr. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:52), 0.1.0 (2018-02-27 11:29), 0.2.0 (2018-04-13 05:29)
Other packages that cited rnr R package
View rnr citation profile
Other R packages that rnr depends, imports, suggests or enhances
Complete documentation for rnr
Functions, R codes and Examples using the rnr R package
Some associated functions: rnr . sensitize.data.frame . sensitize . 
Some associated R codes: rnr.R . sensitize.R . solve.R .  Full rnr package functions and examples
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