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.Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784> Ditzhaus, Janssen, Pauly (2020) <arXiv: 2004.10818v2>Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
| Version: | 0.1.1 |
| Imports: | gridExtra (≥ 2.3),shiny (≥ 1.5.0),shinyjs (≥ 2.0.0),shinythemes (≥ 1.1.2),survival (≥ 3.2-7),survminer (≥0.4.8),tippy (≥ 0.1.0),magic (≥ 1.5-9),MASS (≥ 7.3-53),plyr (≥ 1.8.6), stats |
| Suggests: | condSURV |
| Published: | 2022-11-23 |
| DOI: | 10.32614/CRAN.package.GFDsurv |
| Author: | Marc Ditzhaus [aut], Dennis Dobler [aut], Markus Pauly [aut], Philipp Steinhauer [aut], Merle Munko [aut, cre] |
| Maintainer: | Merle Munko <merle.munko at ovgu.de> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/PhilippSteinhauer/GFDsurv |
| NeedsCompilation: | no |
| CRAN checks: | GFDsurv results |
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