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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 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

Documentation:

Reference manual:palasso.html ,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_1.0.0.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 suggests:transreg

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=palassoto link to this page.


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