Package: palasso 1.0.0

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).

Authors:Armin Rauschenberger [aut, cre]

palasso_1.0.0.tar.gz
palasso_1.0.0.zip(r-4.7-any)palasso_1.0.0.zip(r-4.6-any)palasso_1.0.0.zip(r-4.5-any)
palasso_1.0.0.tgz(r-4.6-any)palasso_1.0.0.tgz(r-4.5-any)
palasso_1.0.0.tar.gz(r-4.7-any)palasso_1.0.0.tar.gz(r-4.6-any)
palasso_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
palasso/json (API)

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

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

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

On CRAN:

Conda:

5.73 score 1 stars 6 packages 20 scripts 435 downloads 2 exports 10 dependencies

Last updated from:751c37d223. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK152
source / vignettesOK188
linux-releaseOK129
macos-releaseOK176
macos-oldrelOK96
windows-develOK86
windows-releaseOK102
windows-oldrelOK88
wasm-releaseOK91

Exports:.combinepalasso

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

Sparse regression with paired covariates
Installation | Initialisation | Standard lasso | Paired lasso | Methods | Reference

Last update: 2024-09-24
Started: 2017-11-22

Article
Sparse classification with paired covariates | Abstract | Full text (open access)

Last update: 2024-09-23
Started: 2017-11-22

Sparse regression with paired covariates
Initialisation | Preparation | Analysis | Figures

Last update: 2019-04-19
Started: 2019-04-19

Readme and manuals

Help Manual

Help pageTopics
Methods for class "palasso"coef.palasso deviance.palasso fitted.palasso logLik.palasso methods predict.palasso residuals.palasso summary.palasso weights.palasso
Paired lassopalasso-package palasso