beeca
0.2.0Binary Endpoint Estimation with Covariate Adjustment
1packages depend
7.2Kdownloads / year
98.8%test coverage
0/13checks pass
Overview
About
Performs estimation of marginal treatment effects for binary outcomes when using logistic regression working models with covariate adjustment (see discussions in Magirr et al (2024) https://osf.io/9mp58/). Implements the variance estimators of Ge et al (2011) doi:10.1177/009286151104500409 and Ye et al (2023) doi:10.1080/24754269.2023.2205802.
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13NOTE
Failing flavors
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Slowest check: 1.7 min · r-oldrel-windows-x86_64
Check history
- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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beeca
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34930 days
1.6K90 days
7.2K1 year
Also on172 r2u58 autocran
Repository
Repository
7Stars
1Forks
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1Open PRs
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23Commits
3Contributors
ardcovariate-adjustmentdelta-methodmarginal-effectsmarginal-estimand
License LGPL-3.0 · 23 commits · Last activity 2026-02-09 · 0% stars, 30d
Repository practices
Upstream repositoryBeta
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/openpharma/beeca on 2026-07-19.
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cran-comments.md
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Dependencies
Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
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none
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none
Code & Tests
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People & History
People (4)
Maintainer (1)
Maintainer, Author
Authors (4)
Package Timeline
2 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.0Latest
- 0.1.32024-06-18
- RR 4.4.0 released · 2024-04-24
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Package metadata
- First published
- 2024-06-18
- Total releases
- 2 / 2 yrs
- License
- LGPL (>= 3) OSI
- Download size
- 81 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet