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otrKM: Optimal Treatment Regimes in Survival Contexts with Kaplan-Meier-Like Estimators

Provide methods for estimating optimal treatment regimes in survival contexts with Kaplan-Meier-like estimators when no unmeasured confounding assumption is satisfied (Jiang, R., Lu, W., Song, R., and Davidian, M. (2017) <doi:10.1111/rssb.12201>) and when no unmeasured confounding assumption fails to hold and a binary instrument is available (Xia, J., Zhan, Z., Zhang, J. (2022) <doi:10.48550/arXiv.2210.05538>).

Version: 0.2.1
Depends: R (≥ 3.10)
Imports: rgenoud, survival
Published: 2023-07-06
Author: Junwen Xia [aut, cre], Zishu Zhan [aut], Jingxiao Zhang [aut]
Maintainer: Junwen Xia <xiajunwen at ruc.edu.cn>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: otrKM results

Documentation:

Reference manual: otrKM.pdf

Downloads:

Package source: otrKM_0.2.1.tar.gz
Windows binaries: r-devel: otrKM_0.2.1.zip, r-release: otrKM_0.2.1.zip, r-oldrel: otrKM_0.2.1.zip
macOS binaries: r-release (arm64): otrKM_0.2.1.tgz, r-oldrel (arm64): otrKM_0.2.1.tgz, r-release (x86_64): otrKM_0.2.1.tgz, r-oldrel (x86_64): otrKM_0.2.1.tgz
Old sources: otrKM archive

Linking:

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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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