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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 GFDsurv_0.1.1.tar.gz 142.6 KiB
0.1.1 rolling linux/noble R-4.5 GFDsurv_0.1.1.tar.gz 142.4 KiB
0.1.1 rolling source/ R- GFDsurv_0.1.1.tar.gz 23.7 KiB
0.1.1 latest linux/jammy R-4.5 GFDsurv_0.1.1.tar.gz 142.6 KiB
0.1.1 latest linux/noble R-4.5 GFDsurv_0.1.1.tar.gz 142.4 KiB
0.1.1 latest source/ R- GFDsurv_0.1.1.tar.gz 23.7 KiB
0.1.1 2026-04-26 source/ R- GFDsurv_0.1.1.tar.gz 23.7 KiB
0.1.1 2026-04-23 source/ R- GFDsurv_0.1.1.tar.gz 23.7 KiB
0.1.1 2026-04-09 windows/windows R-4.5 GFDsurv_0.1.1.zip 145.0 KiB
0.1.1 2025-04-20 source/ R- GFDsurv_0.1.1.tar.gz 23.7 KiB

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