Package: CSTE Version: 3.0.0 Date: 2024-11-16 Type: Package Title: Covariate Specific Treatment Effect (CSTE) Curve Description: A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017) and Guo et al. (2021). 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. Authors@R: c( person("Peng", "Wu", email = "wupeng@bicmr.pku.edu.cn", role = "aut"), person("Wenjie", "Hu", email = "huwenjie@pku.edu.cn", role = c("aut", "cre")), person("Yuhao", "Deng", email = "dengyuhao@pku.edu.cn", role = "aut"), person("Haoxiang", "Wang", email = "whxwhx@pku.edu.cn", role = "aut"), person("Xiaohua", "Zhou", email = "azhou@math.pku.edu.cn", role = "aut")) License: GPL (>= 2) Encoding: UTF-8 Imports: Rcpp (>= 1.0.4), fda, splines, survival, locpol, dfoptim LinkingTo: Rcpp RoxygenNote: 7.1.1 Suggests: mvtnorm, sigmoid NeedsCompilation: yes Packaged: 2026-10-04 07:51:47 UTC; root Author: Peng Wu [aut], Wenjie Hu [aut, cre], Yuhao Deng [aut], Haoxiang Wang [aut], Xiaohua Zhou [aut] Maintainer: Wenjie Hu Config/pak/sysreqs: make Repository: https://hwj0828.r-universe.dev Date/Publication: 2024-11-19 12:00:15 UTC RemoteUrl: https://github.com/cran/CSTE RemoteRef: HEAD RemoteSha: a2329d6325c9d6495beb2eb5fc2a6fb309af93c7