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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.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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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