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abima: Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power
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>.
Getting started
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Package details |
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| Author | Canyi Chen [aut, cre] (<https://orcid.org/0000-0002-0673-5812>), Yinqiu He [aut], Gongjun Xu [aut], Peter X.-K. Song [aut, cph] |
| Maintainer | Canyi Chen <cychen.stats@outlook.com> |
| License | MIT + file LICENSE |
| Version | 1.1 |
| URL | https://websites.umich.edu/~songlab/software.html#ABIMA https://github.com/canyi-chen/abima |
| Package repository | View on CRAN |
| Installation |
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