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transreg

Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')

Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, <doi:10.1093/bioinformatics/btad680>). For running the vignette (optional), install 'fwelnet' and 'ecpc' from <https://github.com/kjytay/fwelnet> and <https://github.com/Mirrelijn/ecpc>, respectively.

Versions across snapshots

VersionRepositoryFileSize
1.0.6 rolling linux/jammy R-4.5 transreg_1.0.6.tar.gz 154.2 KiB
1.0.6 rolling linux/noble R-4.5 transreg_1.0.6.tar.gz 154.2 KiB
1.0.6 rolling source/ R- transreg_1.0.6.tar.gz 76.1 KiB
1.0.6 latest linux/jammy R-4.5 transreg_1.0.6.tar.gz 154.2 KiB
1.0.6 latest linux/noble R-4.5 transreg_1.0.6.tar.gz 154.2 KiB
1.0.6 latest source/ R- transreg_1.0.6.tar.gz 76.1 KiB
1.0.6 2026-04-26 source/ R- transreg_1.0.6.tar.gz 76.1 KiB
1.0.6 2026-04-23 source/ R- transreg_1.0.6.tar.gz 76.1 KiB
1.0.5 2026-04-09 windows/windows R-4.5 transreg_1.0.5.zip 159.0 KiB
1.0.3 2025-04-20 source/ R- transreg_1.0.3.tar.gz 75.3 KiB

Dependencies (latest)

Imports

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