Package: svyVarSel 1.0.1

svyVarSel: Variable Selection for Complex Survey Data

Fit design-based linear and logistic elastic nets with complex survey data considering the sampling design when defining training and test sets using replicate weights. Methods implemented in this package are described in: A. Iparragirre, T. Lumley, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.578>.

Authors:Amaia Iparragirre [aut, cre, cph], Thomas Lumley [aut], Irantzu Barrio [aut], Inmaculada Arostegui [aut]

svyVarSel_1.0.1.tar.gz
svyVarSel_1.0.1.zip(r-4.7)svyVarSel_1.0.1.zip(r-4.6)svyVarSel_1.0.1.zip(r-4.5)
svyVarSel_1.0.1.tgz(r-4.6-any)svyVarSel_1.0.1.tgz(r-4.5-any)
svyVarSel_1.0.1.tar.gz(r-4.7-any)svyVarSel_1.0.1.tar.gz(r-4.6-any)
svyVarSel_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
svyVarSel/json (API)

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

Bug tracker:https://github.com/aiparragirre/svyvarsel/issues

Datasets:

On CRAN:

Conda:

complex-survey-dataelastic-netslassoreplicate-weightsvariable-selection

3.18 score 1 stars 1 packages 2 scripts 246 downloads 5 exports 16 dependencies

Last updated from:ee8240efb8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK200
linux-release-x86_64OK116
macos-release-arm64OK81
macos-oldrel-arm64OK86
windows-develOK81
windows-releaseOK69
windows-oldrelOK79
wasm-releaseOK104

Exports:replicate.weightswelnetwelnet.plotwlassowlasso.plot

Dependencies:codetoolsDBIforeachglmnetiteratorslatticeMatrixminqamitoolsnumDerivRcppRcppArmadilloRcppEigenshapesurveysurvival