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sensitivityfull
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sensitivityfull . sensitivityfull results . sensitivityfull.pdf . sensitivityfull_1.5.6.tar.gz . sensitivityfull_1.5.6.zip . sensitivityfull_1.5.6.zip . sensitivityfull_1.5.6.zip . sensitivityfull_1.5.6.tgz . sensitivityfull_1.5.6.tgz . sensitivityfull_1.5.6.tgz . sensitivityfull_1.5.6.tgz . sensitivityfull archive . https://CRAN.R-project.org/package=sensitivityfull .
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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