Package: gsMAMS 0.7.2

gsMAMS: Group Sequential Designs of Multi-Arm Multi-Stage Trials

It provides functions to generate operating characteristics and to calculate Sequential Conditional Probability Ratio Tests(SCPRT) efficacy and futility boundary values along with sample/event size of Multi-Arm Multi-Stage(MAMS) trials for different outcomes. The package is based on Jianrong Wu, Yimei Li, Liang Zhu (2023) <doi:10.1002/sim.9682>, Jianrong Wu, Yimei Li (2023) "Group Sequential Multi-Arm Multi-Stage Survival Trial Design with Treatment Selection"(Manuscript accepted for publication) and Jianrong Wu, Yimei Li, Shengping Yang (2023) "Group Sequential Multi-Arm Multi-Stage Trial Design with Ordinal Endpoints"(In preparation).

Authors:Tushar Patni [aut, cre], Yimei Li [aut], Jianrong Wu [aut]

gsMAMS_0.7.2.tar.gz
gsMAMS_0.7.2.zip(r-4.5)gsMAMS_0.7.2.zip(r-4.4)gsMAMS_0.7.2.zip(r-4.3)
gsMAMS_0.7.2.tgz(r-4.5-any)gsMAMS_0.7.2.tgz(r-4.4-any)gsMAMS_0.7.2.tgz(r-4.3-any)
gsMAMS_0.7.2.tar.gz(r-4.5-noble)gsMAMS_0.7.2.tar.gz(r-4.4-noble)
gsMAMS_0.7.2.tgz(r-4.4-emscripten)gsMAMS_0.7.2.tgz(r-4.3-emscripten)
gsMAMS.pdf |gsMAMS.html
gsMAMS/json (API)

# Install 'gsMAMS' in R:
install.packages('gsMAMS', repos = c('https://tpatni719.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tpatni719/gsmams/issues

On CRAN:

Conda:

4.54 score 8 scripts 166 downloads 9 exports 4 dependencies

Last updated 10 months agofrom:e10a25473f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winOKMar 24 2025
R-4.5-macOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macOKMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

Exports:design_contdesign_orddesign_survop_fwer_contop_fwer_ordop_fwer_survop_power_contop_power_ordop_power_surv

Dependencies:latticeMatrixmvtnormsurvival

gsMAMS

Rendered fromgsMAMS.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2024-03-29
Started: 2024-03-29