medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models
Author(s) -
Johan Steen,
Tom Loeys,
Beatrijs Moerkerke,
Stijn Vansteelandt
Publication year - 2017
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v076.i11
Subject(s) - counterfactual thinking , computer science , r package , mediation , context (archaeology) , flexibility (engineering) , path analysis (statistics) , set (abstract data type) , econometrics , data science , machine learning , programming language , mathematics , statistics , psychology , social psychology , paleontology , political science , law , biology
Mediation analysis is routinely adopted by researchers from a wide range of applied disciplines as a statistical tool to disentangle the causal pathways by which an exposure or treatment affects an outcome. The counterfactual framework provides a language for clearly defining path-specific effects of interest and has fostered a principled extension of mediation analysis beyond the context of linear models. This paper describes medflex, an R package that implements some recent developments in mediation analysis embedded within the counterfactual framework. The medflex package offers a set of ready-made functions for fitting natural effect models, a novel class of causal models which directly parameterize the path-specific effects of interest, thereby adding flexibility to existing software packages for mediation analysis, in particular with respect to hypothesis testing and parsimony. In this paper, we give a comprehensive overview of the functionalities of the medflex package.
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