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drugdevelopR

1.0.2

Utility-Based Optimal Phase II/III Drug Development Planning

0packages depend
3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Lukas D. SauerFirst published 2024-01-102 releasesCRAN page ↗GitHub ↗

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

CRAN checks
13OK
Slowest check: 11.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.13
not tracked
Coverage
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 341 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
89%
Documented parameters
100%
Return-value docs
99%
References docs
16%

Downloads

3K
CRAN downloads in the past year
Rank #15,710 · ~8/day · ~247/mo
Daily download trend is not available in this view yet.
21430 days
67190 days
3K1 year
Compare downloads with other packages →
Also on121 r2u16 autocran

Repository

Repository
3Stars
3Forks
0Open issues
0Open PRs
6Releases
749Commits
5Contributors
r-package
749 commits · Last activity 2025-01-14

Stars over time

2024-06-03 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/sterniii3/drugdevelopr on 2026-08-09.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (5)
R >= 3.5.0doParallelparallelforeachiterators
Imports (6)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.2Latest
    2025-01-14 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    2024-01-10
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("drugdevelopR")
Sauer, L. D., Cepicka, J., Erdmann, S., Kieser, M., & Kirchner, M. (2025). drugdevelopR: Utility-Based Optimal Phase II/III Drug Development Planning (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.drugdevelopR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for drugdevelopR version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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