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transreg
View on CRAN: Click
here
Download and install transreg package within the R console
Install from CRAN:
install.packages("transreg")
Install from Github:
library("remotes")
install_github("cran/transreg") Install by package version:
library("remotes")
install_version("transreg", "1.0.5") Attach the package and use:
library("transreg")
Maintained by
Armin Rauschenberger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-01
Latest Update: 2025-07-26
Description:
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, install 'fwelnet' from 'GitHub' <https://github.com/kjytay/fwelnet>.
How to cite:
Armin Rauschenberger (2023). transreg: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning'). R package version 1.0.5, https://cran.r-project.org/web/packages/transreg. Accessed 10 Mar. 2026.
Previous versions and publish date:
Other packages that cited transreg R package
View transreg citation profile
Other R packages that transreg depends,
imports, suggests or enhances
Complete documentation for transreg
Functions, R codes and Examples using
the transreg R package
Some associated functions: calibrate . coef.transreg . compare . dot-residuals . dot-signdisc . extract . fitted.transreg . plot.transreg . predict.transreg . print.transreg . simulate . transreg-package . transreg . weights.transreg .
Some associated R codes: functions.R . pkgname.R . Full transreg package functions and examples
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