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sensitivitymv  

Sensitivity Analysis in Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sensitivitymv", "1.4.3")



Attach the package and use:
library("sensitivitymv")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
First Published: 2013-11-20
Latest Update: 2018-06-13
Description:
The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, .
How to cite:
Paul R. Rosenbaum (2013). sensitivitymv: Sensitivity Analysis in Observational Studies. R package version 1.4.3, https://cran.r-project.org/web/packages/sensitivitymv. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.2 (2013-11-20 21:27), 1.3 (2015-08-19 20:35)
Other packages that cited sensitivitymv R package
View sensitivitymv citation profile
Other R packages that sensitivitymv depends, imports, suggests or enhances
Complete documentation for sensitivitymv
Functions, R codes and Examples using the sensitivitymv R package
Some associated functions: amplify . erpcp . lead150 . lead250 . mercury . mscorev . mtm . multrnks . newurks . senmv . sensitivitymv-package . separable1v . tbmetaphase . truncatedP . truncatedPbg . 
Some associated R codes: amplify.R . mscorev.R . multrnks.R . newurks.R . senmv.R . sensitivitymv-internal.R . separable1v.R . truncatedP.R . truncatedPbg.R .  Full sensitivitymv package functions and examples
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