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submax  

Effect Modification in Observational Studies Using the Submax Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("submax", "1.1.1")



Attach the package and use:
library("submax")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
First Published: 2017-12-14
Latest Update: 2017-12-14
Description:
Effect modification occurs if a treatment effect is larger or more stable in certain subgroups defined by observed covariates.The submax or subgroup-maximum method of Lee et al. (2017) <doi:10.48550/arXiv.1702.00525> does an overall test and separate tests in subgroups, correcting for multiple testing using the joint distribution.
How to cite:
Paul R. Rosenbaum (2017). submax: Effect Modification in Observational Studies Using the Submax Method. R package version 1.1.1, https://cran.r-project.org/web/packages/submax. Accessed 20 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited submax R package
View submax citation profile
Other R packages that submax depends, imports, suggests or enhances
Complete documentation for submax
Functions, R codes and Examples using the submax R package
Some associated functions: Active . amplify . mercury . mscorev . score . separable1fc . submax-package . submax . tbmetaphase . 
Some associated R codes: amplify.R . mscorev.R . score.R . separable1fc.R . submax-internal.R . submax.R .  Full submax package functions and examples
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