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OptGS  

Near-Optimal Group-Sequential Designs for Continuous Outcomes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OptGS", "1.2")



Attach the package and use:
library("OptGS")
Maintained by
James Wason
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-27
Latest Update: 2024-02-29
Description:
Optimal group-sequential designs minimise some function of the expected and maximum sample size whilst controlling the type I error rate and power at a specified level. 'OptGS' provides functions to quickly search for near-optimal group-sequential designs for normally distributed outcomes. The methods used are described in Wason, JMS (2015) .
How to cite:
James Wason (2015). OptGS: Near-Optimal Group-Sequential Designs for Continuous Outcomes. R package version 1.2, https://cran.r-project.org/web/packages/OptGS. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2015-07-27 15:40), 1.1.1 (2015-09-15 00:11), 1.1 (2015-07-28 23:09)
Other packages that cited OptGS R package
View OptGS citation profile
Other R packages that OptGS depends, imports, suggests or enhances
Complete documentation for OptGS
Functions, R codes and Examples using the OptGS R package
Some associated functions: all.class . optgs . powerfamily . 
Some associated R codes: powerfamily.R .  Full OptGS package functions and examples
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