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).
- Version0.2.1
- R version≥ 3.10
- LicenseMIT
- Needs compilation?No
- Last release07/06/2023
Team
Junwen Xia
Zishu Zhan
Show author detailsRolesAuthorJingxiao Zhang
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 152 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,037 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 06, 2024 with 28 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages