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TransHDM  

High-Dimensional Mediation Analysis via Transfer Learning
View on CRAN: Click here


Download and install TransHDM package within the R console
Install from CRAN:
install.packages("TransHDM")

Install from Github:
library("remotes")
install_github("cran/TransHDM")

Install by package version:
library("remotes")
install_version("TransHDM", "1.0.1")



Attach the package and use:
library("TransHDM")
Maintained by
Huer Gao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-17
Latest Update: 2026-03-17
Description:
Provides a framework for high-dimensional mediation analysis using transfer learning. The main function TransHDM() integrates large-scale source data to improve the detection power of potential mediators in small-sample target studies. It addresses data heterogeneity via transfer regularization and debiased estimation while controlling the false discovery rate. The package also includes utilities for data generation (gen_simData_homo(), gen_simData_hetero()), baseline methods such as lasso() and dblasso(), sure independence screening via SIS(), and model diagnostics through source_detection(). The methodology is described in Pan et al. (2025) <doi:10.1093/bib/bbaf460>.
How to cite:
Huer Gao (2026). TransHDM: High-Dimensional Mediation Analysis via Transfer Learning. R package version 1.0.1, https://cran.r-project.org/web/packages/TransHDM. Accessed 28 Jul. 2026.
Previous versions and publish date:
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Complete documentation for TransHDM
Functions, R codes and Examples using the TransHDM R package
Full TransHDM package functions and examples
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