TransHDM: High-Dimensional Mediation Analysis via Transfer Learning

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>.

Version:	1.0.1
Depends:	R (≥ 4.0.0)
Imports:	glmnet (≥ 4.1-10), caret (≥ 7.0-1), MASS (≥ 7.3-61), doParallel (≥ 1.0.17), foreach (≥ 1.5.2), HDMT (≥ 1.0.5)
Suggests:	knitr (≥ 1.50), rmarkdown (≥ 2.30), spelling (≥ 2.3.2)
Published:	2026-03-17
DOI:	10.32614/CRAN.package.TransHDM
Author:	Huer Gao [aut, cre, cph], Lulu Pan [aut, cph], Yongfu Yu [ctb, cph], Guoyou Qin [ctb, cph]
Maintainer:	Huer Gao <gaohuer at proton.me>
License:	GPL (≥ 3)
URL:	https://github.com/Gaohuer/TransHDM
NeedsCompilation:	no
Language:	en-US
Citation:	TransHDM citation info
CRAN checks:	TransHDM results

Documentation:

Reference manual:	TransHDM.html , TransHDM.pdf
Vignettes:	tutorial (source, R code)

Downloads:

Package source:	TransHDM_1.0.1.tar.gz
Windows binaries:	r-devel: TransHDM_1.0.1.zip, r-release: TransHDM_1.0.1.zip, r-oldrel: TransHDM_1.0.1.zip
macOS binaries:	r-release (arm64): TransHDM_1.0.1.tgz, r-oldrel (arm64): TransHDM_1.0.1.tgz, r-release (x86_64): TransHDM_1.0.1.tgz, r-oldrel (x86_64): TransHDM_1.0.1.tgz

Linking:

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