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gsMAMS
View on CRAN: Click
here
Download and install gsMAMS package within the R console
Install from CRAN:
install.packages("gsMAMS")
Install from Github:
library("remotes")
install_github("cran/gsMAMS") Install by package version:
library("remotes")
install_version("gsMAMS", "0.7.2") Attach the package and use:
library("gsMAMS")
Maintained by
Tushar Patni
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-04
Latest Update: 2024-05-10
Description:
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) , 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).
How to cite:
Tushar Patni (2023). gsMAMS: Group Sequential Designs of Multi-Arm Multi-Stage Trials. R package version 0.7.2, https://cran.r-project.org/web/packages/gsMAMS. Accessed 10 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:46), 0.7.1 (2023-05-04 11:00)
Other packages that cited gsMAMS R package
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Other R packages that gsMAMS depends,
imports, suggests or enhances
Complete documentation for gsMAMS
Functions, R codes and Examples using
the gsMAMS R package
Some associated functions: design_cont . design_ord . design_surv . op_fwer_cont . op_fwer_ord . op_fwer_surv . op_power_cont . op_power_ord . op_power_surv .
Some associated R codes: design_cont.R . design_ord.R . design_surv.R . logranktest.R . op_fwer_cont.R . op_fwer_ord.R . op_fwer_surv.R . op_power_cont.R . op_power_ord.R . op_power_surv.R . scprt.R . size_cont.R . size_ord.R . size_surv.R . Full gsMAMS package functions and examples
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