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testtwice  

Testing One Hypothesis Twice in Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("testtwice", "1.0.3")



Attach the package and use:
library("testtwice")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-15
Latest Update: 2020-09-15
Description:
Tests one hypothesis with several test statistics, correcting for multiple testing.The central function in the package is testtwice().In a sensitivity analysis, the method has the largest design sensitivity of its component tests.The package implements the method and examples in Rosenbaum, P. R. (2012) <doi:10.1093/biomet/ass032> Testing one hypothesis twice in observational studies. Biometrika, 99(4), 763-774.
How to cite:
Paul R. Rosenbaum (2020). testtwice: Testing One Hypothesis Twice in Observational Studies. R package version 1.0.3, https://cran.r-project.org/web/packages/testtwice. Accessed 27 Oct. 2026.
Previous versions and publish date:
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Other packages that cited testtwice R package
View testtwice citation profile
Other R packages that testtwice depends, imports, suggests or enhances
Complete documentation for testtwice
Functions, R codes and Examples using the testtwice R package
Some associated functions: bmhranks . multrnk . smokerlead . testtwice-package . testtwice . tt . 
Some associated R codes: bmhranks.R . multrnk.R . testtwice.R . tt.R .  Full testtwice package functions and examples
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