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MultiGroupSequential  

Group-Sequential Procedures with Multiple Hypotheses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultiGroupSequential", "1.1.0")



Attach the package and use:
library("MultiGroupSequential")
Maintained by
Xiaodong Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-22
Latest Update: 2023-08-09
Description:
It is often challenging to strongly control the family-wise type-1 error rate in the group-sequential trials with multiple endpoints (hypotheses). The inflation of type-1 error rate comes from two sources (S1) repeated testing individual hypothesis and (S2) simultaneous testing multiple hypotheses. The 'MultiGroupSequential' package is intended to help researchers to tackle this challenge. The procedures provided include the sequential procedures described in Luo and Quan (2023) and the graphical procedure proposed by Maurer and Bretz (2013) . Luo and Quan (2013) describes three procedures, and the functions to implement these procedures are (1) seqgspgx() implements a sequential graphical procedure based on the group-sequential p-values; (2) seqgsphh() implements a sequential Hochberg/Hommel procedure based on the group-sequential p-values; and (3) seqqvalhh() implements a sequential Hochberg/Hommel procedure based on the q-values. In addition, seqmbgx() implements the sequential graphical procedure described in Maurer and Bretz (2013).
How to cite:
Xiaodong Luo (2023). MultiGroupSequential: Group-Sequential Procedures with Multiple Hypotheses. R package version 1.1.0, https://cran.r-project.org/web/packages/MultiGroupSequential. Accessed 17 Dec. 2024.
Previous versions and publish date:
1.0.0 (2023-05-22 20:10)
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