Package: transreg 1.0.3

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' from 'GitHub' <https://github.com/kjytay/fwelnet>.

Authors:Armin Rauschenberger [aut, cre]

transreg_1.0.3.tar.gz
transreg_1.0.3.zip(r-4.5)transreg_1.0.3.zip(r-4.4)transreg_1.0.3.zip(r-4.3)
transreg_1.0.3.tgz(r-4.5-any)transreg_1.0.3.tgz(r-4.4-any)transreg_1.0.3.tgz(r-4.3-any)
transreg_1.0.3.tar.gz(r-4.5-noble)transreg_1.0.3.tar.gz(r-4.4-noble)
transreg_1.0.3.tgz(r-4.4-emscripten)transreg_1.0.3.tgz(r-4.3-emscripten)
transreg.pdf |transreg.html
transreg/json (API)
NEWS

# Install 'transreg' in R:
install.packages('transreg', repos = c('https://rauschenberger.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rauschenberger/transreg/issues

Pkgdown site:https://rauschenberger.github.io

On CRAN:

Conda:

4.30 score 4 scripts 164 downloads 1 exports 14 dependencies

Last updated 6 months agofrom:4c35c57861. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-winOKMar 27 2025
R-4.5-macOKMar 27 2025
R-4.5-linuxOKMar 27 2025
R-4.4-winNOTEMar 27 2025
R-4.4-macNOTEMar 27 2025
R-4.4-linuxNOTEMar 27 2025
R-4.3-winNOTEMar 27 2025
R-4.3-macNOTEMar 27 2025

Exports:transreg

Dependencies:codetoolscornetforeachglmnetiteratorsjoinetlatticeMatrixpalassoRcppRcppEigenshapestarnetsurvival

Analysis

Rendered fromanalysis.Rmdusingknitr::knitron Mar 27 2025.

Last update: 2023-11-05
Started: 2022-11-11

Penalised regression with prior effects

Rendered fromarticle.Rmdusingknitr::rmarkdownon Mar 27 2025.

Last update: 2024-09-27
Started: 2024-09-24

Readme and manuals

Help Manual

Help pageTopics
Penalised regression with multiple sets of prior effectstransreg-package
Calculate residuals.residuals
Sign discovery.signdisc
Internal functions.exp.multiple .iso.fast.single .iso.multiple .iso.slow.single calibrate
Extract Coefficientscoef.transreg
Cross-validation (reproducibility)compare
Internal functions.coef.sim .coef.sta .predict.sim .predict.sta .weights.sim .weights.sta .which.stack extract
Fitted valuesfitted.transreg
Plot transreg-objectplot.transreg
Make Predictionspredict.transreg
Print transreg-objectprint.transreg
Simulation (reproducibility)simulate
Penalised regression with multiple sets of prior effectstransreg
Extract Weightsweights.transreg