Multiple Response Subgroup Identification using GUIDE algorithm.
The current package is still under heavily development.
For subgroup identification use GUIDE algorithm.
NOTE
The importance scoring method is different from GUIDE algorithm. Please see our latest paper Variable importance score about importance score and use GUIDE directly for this task.
Here are the links and paper for reference:
Loh, W.-Y. and Zhou, P. (2020), The GUIDE approach to subgroup identification. In Design and Analysis of Subgroups with Biopharmaceutical Applications, N. Ting, J. C. Cappelleri, S. Ho, and D.-G. Chen (Eds.) Springer, in press.
Loh, W.-Y., Cao, L. and Zhou, P. (2019), Subgroup identification for precision medicine: a comparative review of thirteen methods, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 9, 5, e1326. DOI
Loh, W.-Y., Man, M. and Wang, S. (2019), Subgroups from regression trees with adjustment for prognostic effects and post-selection inference, Statistics in Medicine, vol. 38, 545-557. DOI
Loh, W.-Y., Fu, H., Man, M., Champion, V. and Yu, M. (2016), Identification of subgroups with differential treatment effects for longitudinal and multiresponse variables, Statistics in Medicine, vol. 35, 4837-4855. DOI
R packages:
- Rcpp
- RcppArmardillo
- BH
library(devtools)
install_github('baconzhou/MrSGUIDE')
Please refer to the following link if you have problem with install the package from source.
Here are my personal set up for macOS building MrSGUIDE used homebrew for libomp
brew update
brew install llvm libomp gcc
In the ~/.R/Makevars file
CC=/usr/local/opt/llvm/bin/clang
CXX=/usr/local/opt/llvm/bin/clang++
CXX1X=/usr/local/opt/llvm/bin/clang++
CXX11=/usr/local/opt/llvm/bin/clang++
FLIBS=-L/usr/local/Cellar/gcc/8.2.0 -L/usr/local/Cellar/gcc/8.2.0/lib/gcc/8 -lgfortran -lquadmath -lm