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.
Version: 3.0.0 Imports: Rcpp (≥ 1.0.4), fda, splines, survival, locpol, dfoptim LinkingTo: Rcpp Suggests: mvtnorm, sigmoid Published: 2024-11-19 DOI: 10.32614/CRAN.package.CSTE Author: Peng Wu [aut], Wenjie Hu [aut, cre], Yuhao Deng [aut], Haoxiang Wang [aut], Xiaohua Zhou [aut] Maintainer: Wenjie Hu <huwenjie at pku.edu.cn> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes CRAN checks: CSTE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CSTE to link to this page.
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