GFDsurv
Tests for Survival Data in General Factorial Designs
Implemented are three Wald-type statistic and respective permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. doi:10.1177/0962280220980784 arXiv: 2004.10818v2 doi:10.1177/0962280219831316.
- Version0.1.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release11/23/2022
Team
Merle Munko
Markus Pauly
Show author detailsRolesAuthorMarc Ditzhaus
Show author detailsRolesAuthorPhilipp Steinhauer
Show author detailsRolesAuthorDennis Dobler
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 213 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
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Last 365 days
This package has been downloaded 3,069 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 37 downloads.
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Dependencies
- Imports10 packages
- Suggests1 package