Package: CSTE
Version: 1.0
Date: 2021-08-24
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)<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.
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("Xiaohua", "Zhou", email = "azhou@math.pku.edu.cn", role = "aut"))
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.4), fda, splines, survival
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Suggests: mvtnorm, sigmoid
NeedsCompilation: yes
Packaged: 2021-09-03 10:05:13 UTC; hwj
Author: Peng Wu [aut],
  Wenjie Hu [aut, cre],
  Yuhao Deng [aut],
  Xiaohua Zhou [aut]
Maintainer: Wenjie Hu <huwenjie@pku.edu.cn>
Repository: CRAN
Date/Publication: 2021-09-07 09:20:08 UTC
