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:Junwen Xia [aut, cre], Zishu Zhan [aut], Jingxiao Zhang [aut]

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-4.5-any)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'))
Datasets:

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 188 downloads 15 exports 4 dependencies

Last updated 2 years agofrom:2d54a5a74e. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-winOKMar 01 2025
R-4.5-macOKMar 01 2025
R-4.5-linuxOKMar 01 2025
R-4.4-winOKMar 01 2025
R-4.4-macOKMar 01 2025
R-4.3-winOKMar 01 2025
R-4.3-macOKMar 01 2025

Exports:AIWKMEclippDRKMEIVFprep.AIWKMEFprep.DRKMEIVFps.AIWKMEFps.DRKMEIVFps.IWKMEFps.IWKMEIVGenetic.optim.AIWKMEGenetic.optim.DRKMEIVGenetic.optim.IWKMEGenetic.optim.IWKMEIVIWKMEIWKMEIV

Dependencies:latticeMatrixrgenoudsurvival