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GFDrmst
View on CRAN: Click
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Download and install GFDrmst package within the R console
Install from CRAN:
install.packages("GFDrmst")
Install from Github:
library("remotes")
install_github("cran/GFDrmst")
Install by package version:
library("remotes")
install_version("GFDrmst", "0.1.1")
Attach the package and use:
library("GFDrmst")
Maintained by
Merle Munko
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.GFDrmst . GFDrmst results . GFDrmst.pdf . GFDrmst_0.1.1.tar.gz . GFDrmst_0.1.1.zip . GFDrmst_0.1.1.zip . GFDrmst_0.1.1.zip . GFDrmst_0.1.1.tgz . GFDrmst_0.1.1.tgz . GFDrmst_0.1.1.tgz . GFDrmst_0.1.1.tgz . GFDrmst_0.1.1.tgz . GFDrmst_0.1.1.tgz . GFDrmst archive . https://CRAN.R-project.org/package=GFDrmst .
First Published: 2024-03-04
Latest Update: 2024-03-04
Description:
We implemented multiple tests based on the restricted mean survival time (RMST) for general factorial designs as described in Munko et al. (2024) . Therefore, an asymptotic test, a groupwise bootstrap test, and a permutation test are incorporated with a Wald-type test statistic. The asymptotic and groupwise bootstrap test take the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMST contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.
How to cite:
Merle Munko (2024). GFDrmst: Multiple RMST-Based Tests in General Factorial Designs. R package version 0.1.1, https://cran.r-project.org/web/packages/GFDrmst. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-03-04 11:40)
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