drugdevelopR
1.0.2Utility-Based Optimal Phase II/III Drug Development Planning
Overview
Plan optimal sample size allocation and go/no-go decision rules for phase II/III drug development programs with time-to-event, binary or normally distributed endpoints when assuming fixed treatment effects or a prior distribution for the treatment effect, using methods from Kirchner et al. (2016) doi:10.1002/sim.6624 and Preussler (2020). Optimal is in the sense of maximal expected utility, where the utility is a function taking into account the expected cost and benefit of the program. It is possible to extend to more complex settings with bias correction (Preussler S et al. (2020) doi:10.1186/s12874-020-01093-w), multiple phase III trials (Preussler et al. (2019) doi:10.1002/bimj.201700241), multi-arm trials (Preussler et al. (2019) doi:10.1080/19466315.2019.1702092), and multiple endpoints (Kieser et al. (2018) doi:10.1002/pst.1861).
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 89%
- Documented parameters
- 100%
- Return-value docs
- 99%
- References docs
- 16%
Downloads
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Repository practices
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Checks run against github.com/sterniii3/drugdevelopr on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.2Latest
- RR 4.4.0 released · 2024-04-24
- 1.0.12024-01-10
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-01-10
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 284 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
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