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-any)svyVarSel_1.0.1.zip(r-4.6-any)svyVarSel_1.0.1.zip(r-4.5-any)
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 255 downloads 5 exports 16 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK103
source / vignettesOK189
linux-releaseOK95
macos-releaseOK98
macos-oldrelOK107
windows-develOK86
windows-releaseOK70
windows-oldrelOK60
wasm-releaseOK81

Exports:replicate.weightswelnetwelnet.plotwlassowlasso.plot

Dependencies:codetoolsDBIforeachglmnetiteratorslatticeMatrixminqamitoolsnumDerivRcppRcppArmadilloRcppEigenshapesurveysurvival