Near-Optimal Group-Sequential Designs for Continuous Outcomes
Overview
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) doi:10.18637/jss.v066.i02.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Downloads
Dependencies
Installing OptGS adds no packages beyond those that come with R.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- unarchivedReturned to CRAN2024-02-29
- 1.2Latest
- archivedRemoved from CRAN2023-08-18email to the maintainer is undeliverable
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.1.12015-09-15 · diff ↗
- 1.12015-07-28 · diff ↗
Show 2 earlier eventsHide 2 earlier events
- 1.02015-07-27
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-07-27
- Total releases
- 4 / 11 yrs
- License
- GPL-2 OSI
- Download size
- 14 KB
Cite
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Run in R for the authors' entry:
citation("OptGS")The package provides a citation file, so citation() returns the authors' own entry.
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