bonsaiforest
0.1.1Shrinkage Based Forest Plots
Overview
Subgroup analyses are routinely performed in clinical trial analyses. From a methodological perspective, two key issues of subgroup analyses are multiplicity (even if only predefined subgroups are investigated) and the low sample sizes of subgroups which lead to highly variable estimates, see e.g. Yusuf et al (1991) doi:10.1001/jama.1991.03470010097038. This package implements subgroup estimates based on Bayesian shrinkage priors, see Carvalho et al (2019) https://proceedings.mlr.press/v5/carvalho09a.html. In addition, estimates based on penalized likelihood inference are available, based on Simon et al (2011) doi:10.18637/jss.v039.i05. The corresponding shrinkage based forest plots address the aforementioned issues and can complement standard forest plots in practical clinical trial analyses.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2511 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2211 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1810 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
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- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 96%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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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
- 0.1.1Latest
- 0.1.02024-06-17
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-06-17
- Total releases
- 2 / 2 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 3.4 MB / 13 files
- Download size
- 3.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet