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-4.7)otrKM_0.2.1.zip(r-4.6)otrKM_0.2.1.zip(r-4.5)
otrKM_0.2.1.tgz(r-4.6-any)otrKM_0.2.1.tgz(r-4.5-any)
otrKM_0.2.1.tar.gz(r-4.7-any)otrKM_0.2.1.tar.gz(r-4.6-any)
otrKM_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

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

1.00 score 242 downloads 15 exports 4 dependencies

Last updated from:2d54a5a74e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK163
linux-release-x86_64OK121
macos-release-arm64OK105
macos-oldrel-arm64OK92
windows-develOK94
windows-releaseOK91
windows-oldrelOK80
wasm-releaseOK96

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

Dependencies:latticeMatrixrgenoudsurvival