A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)<DOI:10.1177/0962280214541724> and Guo et al. (2021)<DOI:10.1080/01621459.2020.1865167>. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
|Author||Peng Wu [aut], Wenjie Hu [aut, cre], Yuhao Deng [aut], Xiaohua Zhou [aut]|
|Maintainer||Wenjie Hu <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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