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sensitivityfull  

Sensitivity Analysis for Full Matching in Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sensitivityfull", "1.5.6")



Attach the package and use:
library("sensitivityfull")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
First Published: 2016-09-22
Latest Update: 2017-04-04
Description:
Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) .
How to cite:
Paul R. Rosenbaum (2016). sensitivityfull: Sensitivity Analysis for Full Matching in Observational Studies. R package version 1.5.6, https://cran.r-project.org/web/packages/sensitivityfull. Accessed 18 Apr. 2025.
Previous versions and publish date:
1.0.0 (2016-09-22 09:22)
Other packages that cited sensitivityfull R package
View sensitivityfull citation profile
Other R packages that sensitivityfull depends, imports, suggests or enhances
Complete documentation for sensitivityfull
Functions, R codes and Examples using the sensitivityfull R package
Some associated functions: mscoref . senfm . senfmCI . separable1f . 
Some associated R codes: mscoref.R . senfm.R . senfmCI.R . separable1f.R .  Full sensitivityfull package functions and examples
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