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permGS  

Permutational Group Sequential Test for Time-to-Event Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("permGS", "0.2.5")



Attach the package and use:
library("permGS")
Maintained by
Matthias Brueckner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-24
Latest Update:
Description:
Permutational group-sequential tests for time-to-event data based on the log-rank test statistic. Supports exact permutation test when the censoring distributions are equal in the treatment and the control group and approximate imputation-permutation methods when the censoring distributions are different.
How to cite:
Matthias Brueckner (2017). permGS: Permutational Group Sequential Test for Time-to-Event Data. R package version 0.2.5, https://cran.r-project.org/web/packages/permGS. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.2.3 (2017-01-24 19:43), 0.2.4 (2017-06-22 13:22), 0.2.5 (2017-08-08 01:29)
Other packages that cited permGS R package
View permGS citation profile
Other R packages that permGS depends, imports, suggests or enhances
Complete documentation for permGS
Functions, R codes and Examples using the permGS R package
Some associated functions: createPermGS . exactLR . imputeHeinze . imputeIPT . imputeIPZ . nextStage . parseFormula . permGS . permHeinze . permIPT . permIPZ . permLR . permuteHeinze . permuteIPT . permuteIPZ . sampleFromCondKM . sampleFromKM . shuffleBlock . summary.permGS . 
Some associated R codes: IPT.R . IPZ.R . data.R . heinze.R . permGS.R . permLR.R . util.R .  Full permGS package functions and examples
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