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mediation: R Package for Causal Mediation Analysis

JSSJ ournal of Statistical SoftwareAugust 2014, Volume 59, Issue :RPackage for Causal Mediation AnalysisDustin TingleyHarvard UniversityTeppei YamamotoMassachusetts Instituteof TechnologyKentaro HirosePrinceton UniversityLuke KeelePennsylvania State UniversityKosuke ImaiPrinceton UniversityAbstractIn this paper, we describe theRpackagemediationfor conducting Causal mediationanalysis in applied empirical research. In many scientific disciplines, the goal of researchersis not only estimating Causal effects of a treatment but also understanding the processin which the treatment causally affects the outcome. Causal Mediation Analysis is fre-quently used to assess potential Causal mechanisms.

2008). In recent years, however, causal mechanisms have been studied within the modern framework of causal inference with an emphasis on the assumptions required for identi - cation. This approach has highlighted limitations of earlier methods and pointed the way towards a more exible estimation strategy. In addition, new research designs have been

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