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>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: GFDsurv results


Reference manual: GFDsurv.pdf


Package source: GFDsurv_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GFDsurv_0.1.1.tgz, r-oldrel (arm64): GFDsurv_0.1.1.tgz, r-release (x86_64): GFDsurv_0.1.1.tgz, r-oldrel (x86_64): GFDsurv_0.1.1.tgz
Old sources: GFDsurv archive


Please use the canonical form to link to this page.