# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "abima" in publications use:' type: software license: MIT title: 'abima: Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power' version: '1.0' doi: 10.32614/CRAN.package.abima abstract: 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) . authors: - family-names: Chen given-names: Canyi email: cychen.stats@outlook.com orcid: https://orcid.org/0000-0002-0673-5812 - family-names: He given-names: Yinqiu - family-names: Xu given-names: Gongjun - family-names: Song given-names: Peter X.-K. repository: https://canyi-chen.r-universe.dev repository-code: https://github.com/canyi-chen/abima commit: afc72cea0131fd59b9b1f2c10216717710d84fbc url: https://websites.umich.edu/~songlab/software.html#ABIMA contact: - family-names: Chen given-names: Canyi email: cychen.stats@outlook.com orcid: https://orcid.org/0000-0002-0673-5812