Nothing
README.md
In permGS: Permutational Group Sequential Test for Time-to-Event Data
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")
Try the permGS package in your browser
Any scripts or data that you put into this service are public.
permGS documentation built on May 2, 2019, 9:16 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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")
Try the permGS package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.