Package: otrKM 0.2.1
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) <arxiv:2210.05538>).
Authors:
otrKM_0.2.1.tar.gz
otrKM_0.2.1.zip(r-4.5)otrKM_0.2.1.zip(r-4.4)otrKM_0.2.1.zip(r-4.3)
otrKM_0.2.1.tgz(r-4.4-any)otrKM_0.2.1.tgz(r-4.3-any)
otrKM_0.2.1.tar.gz(r-4.5-noble)otrKM_0.2.1.tar.gz(r-4.4-noble)
otrKM_0.2.1.tgz(r-4.4-emscripten)otrKM_0.2.1.tgz(r-4.3-emscripten)
otrKM.pdf |otrKM.html✨
otrKM/json (API)
# Install 'otrKM' in R: |
install.packages('otrKM', repos = c('https://xiajunwen1007.r-universe.dev', 'https://cloud.r-project.org')) |
- simulation - Simulation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:2d54a5a74e. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:AIWKMEclippDRKMEIVFprep.AIWKMEFprep.DRKMEIVFps.AIWKMEFps.DRKMEIVFps.IWKMEFps.IWKMEIVGenetic.optim.AIWKMEGenetic.optim.DRKMEIVGenetic.optim.IWKMEGenetic.optim.IWKMEIVIWKMEIWKMEIV