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 |
| macOS binaries: | r-release: pirate_1.0.0.tgz, r-oldrel: pirate_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=pirate to link to this page.