abima
1.1Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power
Overview
Assess whether and how a specific continuous or categorical exposure affects the outcome of interest through one- or multi-dimensional mediators using an adaptive bootstrap (AB) approach. The AB method allows to make inference for composite null hypotheses of no mediation effect, providing valid type I error control and thus optimizes statistical power. For more technical details, refer to He, Song and Xu (2024) doi:10.1093/jrsssb/qkad129.
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- 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
- 33%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 67%
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Dependencies
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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
- 1.1Latest
- 1.02024-10-25
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-25
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 141 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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