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permGS

permGS is an R package implementing permutational group-sequential tests for time-to-event data based on the two-sample (weighted) log-rank test statistic. It 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. One- and two-sided testing is possible.

Installation

Get the released version from CRAN:

install.packages("permGS")

Or the development version from github:

# install.packages("devtools")
devtools::install_github("mbrueckner/permGS")

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Version

Install

install.packages('permGS')

Monthly Downloads

21

Version

0.2.5

License

GPL-3 | file LICENSE

Maintainer

Matthias Brueckner

Last Published

August 7th, 2017

Functions in permGS (0.2.5)

createPermGS

createPermGS
exactLR

exactLR
permHeinze

Convenience function which calls createPermGS and nextStage to perform fixed sample size permutation test with Heinze method
permIPT

Convenience function which calls createPermGS and nextStage to perform fixed sample size permutation test with IPT method
parseFormula

Parse formula of survival model
permGS

permGS
imputeHeinze

imputeHeinze
imputeIPT

imputeIPT
imputeIPZ

imputeIPZ
nextStage

nextStage
summary.permGS

summary of permGS object
permuteIPZ

permuteIPZ
sampleFromCondKM

sampleFromCondKM
permuteHeinze

permuteHeinze
permuteIPT

permuteIPT
sampleFromKM

sampleFromKM
shuffleBlock

shuffleBlock Permute block preserving group sizes, randomization blocks
permIPZ

Convenience function which calls createPermGS and nextStage to perform fixed sample size permutation test with IPZ method
permLR

Convenience function which calls createPermGS and nextStage to perform fixed sample size permutation test without imputation