ITR is a library implementing the framework described in the papers
- Estimating Optimal Treatment Regimes via Subgroup Identification in Randomized Control Trials and Observational Studies by Haoda Fu, Jin Zhou, Douglas E. Faries.
- Multicategory Outcome Weighted Margin-based Learning for Estimating Individualized Treatment Rules by Chong Zhang, Jiangxiang Chen, Haoda Fu, Xuanyao He, Ying-Qi Zhao, Yufeng Liu
for individualized treatment recommendations. The library is written in C++ and exported to R using Rcpp. See user guide for instructions on installation and usage.
Bo Zhang (zhang_bo3 at lilly.com)
Jie Xue (xue_jie at lilly.com)
Haoda Fu (fu_haoda at lilly.com)