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
card.svg |card.png
svyVarSel/json (API)
NEWS

# 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 226 downloads 5 exports 16 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK162
linux-release-x86_64OK110
macos-release-arm64OK141
macos-oldrel-arm64OK215
windows-develOK81
windows-releaseOK67
windows-oldrelOK80
wasm-releaseOK103

Exports:replicate.weightswelnetwelnet.plotwlassowlasso.plot

Dependencies:codetoolsDBIforeachglmnetiteratorslatticeMatrixminqamitoolsnumDerivRcppRcppArmadilloRcppEigenshapesurveysurvival