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GFDsurv  

Tests for Survival Data in General Factorial Designs
View on CRAN: Click here


Download and install GFDsurv package within the R console
Install from CRAN:
install.packages("GFDsurv")

Install from Github:
library("remotes")
install_github("cran/GFDsurv")

Install by package version:
library("remotes")
install_version("GFDsurv", "0.1.1")



Attach the package and use:
library("GFDsurv")
Maintained by
Merle Munko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-20
Latest Update: 2022-11-23
Description:
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) .
How to cite:
Merle Munko (2021). GFDsurv: Tests for Survival Data in General Factorial Designs. R package version 0.1.1, https://cran.r-project.org/web/packages/GFDsurv. Accessed 16 Jul. 2026.
Previous versions and publish date:
0.0.2 (2021-04-20 10:20), 0.1.0 (2021-07-14 12:00), 0.1.1 (2022-11-23 10:50), (2026-07-09 08:04)
Other packages that cited GFDsurv R package
View GFDsurv citation profile
Other R packages that GFDsurv depends, imports, suggests or enhances
Complete documentation for GFDsurv
Functions, R codes and Examples using the GFDsurv R package
Some associated functions: GFDsurvGUI . casanova . copsanova . medsanova . 
Some associated R codes: casanova.R . casanova_stat.R . copsanova.R . copsanova_stat.R . copsanova_tau.R . func_coeff_check.R . matrix_function.R . medsanova.R . medsanova_stat.R . shinyGUI.R . utilty_functions.R .  Full GFDsurv package functions and examples
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