transreg: Penalised Regression with Multiple Sets of Prior Effects

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>.

Version: 1.0.2
Imports: glmnet, starnet, joinet
Suggests: knitr, testthat, rmarkdown, mvtnorm
Enhances: glmtrans, xrnet, ecpc, fwelnet, doMC, palasso, xtable, devtools, CVXR
Published: 2023-11-11
Author: Armin Rauschenberger ORCID iD [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger at uni.lu>
License: GPL-3
URL: https://lcsb-bds.github.io/transreg/
NeedsCompilation: no
Citation: transreg citation info
Materials: README NEWS
CRAN checks: transreg results

Documentation:

Reference manual: transreg.pdf
Vignettes: abstract
analysis

Downloads:

Package source: transreg_1.0.2.tar.gz
Windows binaries: r-devel: transreg_1.0.2.zip, r-release: transreg_1.0.2.zip, r-oldrel: transreg_1.0.2.zip
macOS binaries: r-release (arm64): transreg_1.0.2.tgz, r-oldrel (arm64): transreg_1.0.2.tgz, r-release (x86_64): transreg_1.0.2.tgz, r-oldrel (x86_64): transreg_1.0.2.tgz
Old sources: transreg archive

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