pirate: Generated Effect Modifier

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, <doi:10.1093/biostatistics/kxw035>).

Version:	1.0.0
Imports:	plyr, MASS, ggplot2, Rcpp, RcppArmadillo
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	rmarkdown
Published:	2016-11-08
Author:	Eva Petkova, Zhe Su
Maintainer:	Zhe Su <Zhe.Su at nyumc.org>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	pirate results

Documentation:

Reference manual:

pirate.pdf

Downloads:

Package source:	pirate_1.0.0.tar.gz
Windows binaries:	r-devel: pirate_1.0.0.zip, r-release: pirate_1.0.0.zip, r-oldrel: pirate_1.0.0.zip
macOS binaries:	r-release (arm64): pirate_1.0.0.tgz, r-oldrel (arm64): pirate_1.0.0.tgz, r-release (x86_64): pirate_1.0.0.tgz, r-oldrel (x86_64): pirate_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pirate to link to this page.