doi:10.1007/s11634-019-00375-6>). The paired lasso is designed for settings where each covariate in one set forms a pair with a covariate in the other set (one-to-one correspondence). For the optional correlation shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).">

palasso: Sparse Regression with Paired Covariates (original) (raw)

Implements sparse regression with paired covariates (<doi:10.1007/s11634-019-00375-6>). The paired lasso is designed for settings where each covariate in one set forms a pair with a covariate in the other set (one-to-one correspondence). For the optional correlation shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).

Version: 1.0.0
Depends: R (≥ 3.0.0)
Imports: glmnet, Matrix, survival
Suggests: knitr, testthat, rmarkdown, remotes, pROC, edgeR, ashr, CorShrink
Published: 2024-09-26
DOI: 10.32614/CRAN.package.palasso
Author: Armin RauschenbergerORCID iD [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger at uni.lu>
BugReports: https://github.com/rauschenberger/palasso/issues
License: GPL-3
URL: https://github.com/rauschenberger/palasso,https://rauschenberger.github.io/palasso/
NeedsCompilation: no
Citation: palasso citation info
Materials: README, NEWS
CRAN checks: palasso results

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