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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- Imports10 packages
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