Covariate Specific Treatment Effect (CSTE) Curve R package CSTE version 3.0.0 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. Software Imports: Rcpp (>= 1.0.4), fda, splines, survival, locpol, dfoptim LinkingTo: Rcpp Suggests: mvtnorm, sigmoid Wenjie Hu <huwenjie@pku.edu.cn> Comprehensive R Archive Network (CRAN) Peng Wu [aut], Wenjie Hu [aut, cre], Yuhao Deng [aut], Haoxiang Wang [aut], Xiaohua Zhou [aut] GPL (>= 2) 2024-11-19 application/tgz https://CRAN.R-project.org/package=CSTE doi:10.32614/CRAN.package.CSTE