CSTE: Covariate Specific Treatment Effect (CSTE) Curve

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: 2.0.0
Imports: Rcpp (≥ 1.0.4), fda, splines, survival, locpol, dfoptim
LinkingTo: Rcpp
Suggests: mvtnorm, sigmoid
Published: 2021-12-16
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


Reference manual: CSTE.pdf


Package source: CSTE_2.0.0.tar.gz
Windows binaries: r-devel: CSTE_2.0.0.zip, r-release: CSTE_2.0.0.zip, r-oldrel: CSTE_2.0.0.zip
macOS binaries: r-release (arm64): CSTE_2.0.0.tgz, r-oldrel (arm64): CSTE_2.0.0.tgz, r-release (x86_64): CSTE_2.0.0.tgz
Old sources: CSTE archive


Please use the canonical form https://CRAN.R-project.org/package=CSTE to link to this page.