https://gaohuer.r-universe.devRecent package updates in gaohuerR-universehttps://github.com/gaohuer.pnghttps://gaohuer.r-universe.devMon, 24 Aug 2026 08:11:34 GMT26111020050@m.fudan.edu.cn (Huer Gao)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>.https://github.com/r-universe/gaohuer/actions/runs/39942219061Mon, 24 Aug 2026 08:11:34 GMTTransHDM1.1.3successhttps://gaohuer.r-universe.devhttps://github.com/gaohuer/transhdmtutorial.Rmdtutorial.htmlTransHDM: High-Dimensional Mediation Analysis via Transfer Learning2026-03-12 13:43:312026-08-24 08:11:34