palasso: Sparse Regression with Paired Covariates

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 Rauschenberger ORCID 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

Documentation:

Reference manual: palasso.pdf
Vignettes: article (source)
script (source, R code)
vignette (source, R code)

Downloads:

Package source: palasso_1.0.0.tar.gz
Windows binaries: r-devel: palasso_1.0.0.zip, r-release: palasso_0.0.9.zip, r-oldrel: palasso_1.0.0.zip
macOS binaries: r-release (arm64): palasso_1.0.0.tgz, r-oldrel (arm64): palasso_1.0.0.tgz, r-release (x86_64): palasso_1.0.0.tgz, r-oldrel (x86_64): palasso_1.0.0.tgz
Old sources: palasso archive

Reverse dependencies:

Reverse imports: cornet, FuzzySimRes, joinet
Reverse enhances: transreg

Linking:

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