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pirate  

Generated Effect Modifier
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pirate", "1.0.0")



Attach the package and use:
library("pirate")
Maintained by
Zhe Su
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-08
Latest Update:
Description:
An implementation of the generated effect modifier (GEM) method. This method constructs composite variables by linearly combining pre-treatment scalar patient characteristics to create optimal treatment effect modifiers in linear models. The optimal linear combination is called a GEM. Treatment is assumed to have been assigned at random. For reference, see E Petkova, T Tarpey, Z Su, and RT Ogden. Generated effect modifiers (GEMs) in randomized clinical trials. Biostatistics (First published online: July 27, 2016, ).
How to cite:
Zhe Su (2016). pirate: Generated Effect Modifier. R package version 1.0.0, https://cran.r-project.org/web/packages/pirate. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2016-11-08 00:30)
Other packages that cited pirate R package
View pirate citation profile
Other R packages that pirate depends, imports, suggests or enhances
Functions, R codes and Examples using the pirate R package
Some associated functions: data_generator . effectSize . gem_fit . gem_test . permute_pvalue . 
Some associated R codes: RcppExports.R . data_generator.R . effect_size.R . gem_fit.R . gem_test.R . permute_pvalue.R .  Full pirate package functions and examples
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