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sensitivitymv
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sensitivitymv . sensitivitymv results . sensitivitymv.pdf . sensitivitymv_1.4.3.tar.gz . sensitivitymv_1.4.3.zip . sensitivitymv_1.4.3.zip . sensitivitymv_1.4.3.zip . sensitivitymv_1.4.3.tgz . sensitivitymv_1.4.3.tgz . sensitivitymv_1.4.3.tgz . sensitivitymv_1.4.3.tgz . sensitivitymv_1.4.3.tgz . sensitivitymv_1.4.3.tgz . sensitivitymv archive . https://CRAN.R-project.org/package=sensitivitymv .
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 29 Mar. 2025.
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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