Package: pirate
Type: Package
Title: Generated Effect Modifier
Version: 1.0.0
Date: 2016-10-11
Author: Eva Petkova, Zhe Su
Maintainer: Zhe Su <Zhe.Su@nyumc.org>
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, <doi:10.1093/biostatistics/kxw035>).
License: MIT + file LICENSE
Imports: plyr, MASS, ggplot2, Rcpp, RcppArmadillo
LinkingTo: Rcpp, RcppArmadillo
Suggests: rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-07 21:18:48 UTC; foreverlovetoyousz
Repository: CRAN
Date/Publication: 2016-11-08 00:30:07
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 17:27:16 UTC; windows
Archs: i386, x64
