SurvCorr
Correlation of Bivariate Survival Times
Estimates correlation coefficients with associated confidence limits for bivariate, partially censored survival times. Uses the iterative multiple imputation approach proposed by Schemper, Kaider, Wakounig and Heinze (2013) doi:10.1002/sim.5874. Provides a scatterplot function to visualize the bivariate distribution, either on the original time scale or as copula.
- Version1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release11/08/2022
Documentation
Team
Georg Heinze
MaintainerShow author detailsMeinhard Ploner
Show author detailsRolesAuthorAlexandra Kaider
Show author detailsRolesAuthorGregor Steiner
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 158 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 8 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 2,107 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 11, 2024 with 23 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