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transreg  

Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
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", "1.0.3")



Attach the package and use:
library("transreg")
Maintained by
Armin Rauschenberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-01
Latest Update: 2023-11-11
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 1.0.3, https://cran.r-project.org/web/packages/transreg. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2023-10-01 17:40), 1.0.1 (2023-10-31 17:20), 1.0.2 (2023-11-11 11:40)
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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