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Journal of Data Science


HIMA: An R Package for High-Dimensional Mediation Analysis
Pub. online: 9 July 2025      Type: Computing In Data Science      Open accessOpen Access

† Co-first authors.
Received
30 August 2024
Accepted
23 June 2025
Published
9 July 2025

Abstract

Mediation analysis plays an important role in many research fields, yet it is very challenging to perform estimation and hypothesis testing for high-dimensional mediation effects. We develop a user-friendly $\mathsf{R}$ package HIMA for high-dimensional mediation analysis with varying mediator and outcome specifications. The HIMA package is a comprehensive tool that accommodates various types of high-dimensional mediation models. This paper offers an overview of the functions within HIMA and demonstrates the practical utility of HIMA through simulated datasets. The HIMA package is publicly available from the Comprehensive $\mathsf{R}$ Archive Network at https://CRAN.R-project.org/package=HIMA.

Supplementary material

 Supplementary Material
In the Supplementary Material, we provide the R code implementations corresponding to the illustrations presented in Section 4.

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Copyright
2025 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
Open access article under the CC BY license.

Keywords
DNA methylation mediator selection penalized estimate quantile regression

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