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) Ditzhaus, Janssen, Pauly (2020) Dobler and Pauly (2019) .


Reference manual

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0.1.0 by Philipp Steinhauer, 6 months ago


Browse source code at https://github.com/cran/GFDsurv

Authors: Marc Ditzhaus [aut] , Dennis Dobler [aut] , Markus Pauly [aut] , Philipp Steinhauer [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports gridExtra, shiny, shinyjs, shinythemes, survival, survminer, tippy, magic, MASS, plyr, stats

Suggests condSURV

See at CRAN