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 |
| Reference manual: | CSTE.html , CSTE.pdf |
| Package source: | CSTE_3.0.0.tar.gz |
| Windows binaries: | r-devel: CSTE_3.0.0.zip, r-release: CSTE_3.0.0.zip, r-oldrel: CSTE_3.0.0.zip |
| macOS binaries: | r-release (arm64): CSTE_3.0.0.tgz, r-oldrel (arm64): CSTE_3.0.0.tgz, r-release (x86_64): CSTE_3.0.0.tgz, r-oldrel (x86_64): CSTE_3.0.0.tgz |
| Old sources: | CSTE archive |
Please use the canonical form https://CRAN.R-project.org/package=CSTE to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.