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


Reference manual: pirate.pdf
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
OS X Mavericks binaries: r-release: pirate_1.0.0.tgz, r-oldrel: pirate_1.0.0.tgz


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