Robust Mediation Analysis: The R Package robmed
Dublin Core
Title
Robust Mediation Analysis: The R Package robmed
Subject
mediation analysis, robust statistics, bootstrap, R.
Description
Mediation analysis is one of the most widely used statistical techniques in the social,
behavioral, and medical sciences. Mediation models allow to study how an independent
variable affects a dependent variable indirectly through one or more intervening variables,
which are called mediators. The analysis is often carried out via a series of linear regressions, in which case the indirect effects can be computed as products of coefficients from
those regressions. Statistical significance of the indirect effects is typically assessed via a
bootstrap test based on ordinary least-squares estimates. However, this test is sensitive to
outliers or other deviations from normality assumptions, which poses a serious threat to
empirical testing of theory about mediation mechanisms. The R package robmed implements a robust procedure for mediation analysis based on the fast-and-robust bootstrap
methodology for robust regression estimators, which yields reliable results even when the
data deviate from the usual normality assumptions. Various other procedures for mediation analysis are included in package robmed as well. Moreover, robmed introduces a
new formula interface that allows to specify mediation models with a single formula, and
provides various plots for diagnostics or visual representation of the results.
behavioral, and medical sciences. Mediation models allow to study how an independent
variable affects a dependent variable indirectly through one or more intervening variables,
which are called mediators. The analysis is often carried out via a series of linear regressions, in which case the indirect effects can be computed as products of coefficients from
those regressions. Statistical significance of the indirect effects is typically assessed via a
bootstrap test based on ordinary least-squares estimates. However, this test is sensitive to
outliers or other deviations from normality assumptions, which poses a serious threat to
empirical testing of theory about mediation mechanisms. The R package robmed implements a robust procedure for mediation analysis based on the fast-and-robust bootstrap
methodology for robust regression estimators, which yields reliable results even when the
data deviate from the usual normality assumptions. Various other procedures for mediation analysis are included in package robmed as well. Moreover, robmed introduces a
new formula interface that allows to specify mediation models with a single formula, and
provides various plots for diagnostics or visual representation of the results.
Creator
Andreas Alfons
Source
https://www.jstatsoft.org/article/view/v103i13
Publisher
Erasmus University Rotterdam
Date
July 2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Andreas Alfons, “Robust Mediation Analysis: The R Package robmed,” Repository Horizon University Indonesia, accessed April 19, 2025, https://repository.horizon.ac.id/items/show/8268.