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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>.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: survey, glmnet
Published: 2024-10-15
DOI: 10.32614/CRAN.package.svyVarSel
Author: Amaia Iparragirre ORCID iD [aut, cre, cph], Thomas Lumley [aut], Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Maintainer: Amaia Iparragirre <amaia.iparragirre at ehu.eus>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: svyVarSel citation info
Materials: README NEWS
CRAN checks: svyVarSel results

Documentation:

Reference manual: svyVarSel.pdf

Downloads:

Package source: svyVarSel_1.0.1.tar.gz
Windows binaries: r-devel: svyVarSel_1.0.1.zip, r-release: svyVarSel_1.0.1.zip, r-oldrel: svyVarSel_1.0.1.zip
macOS binaries: r-release (arm64): svyVarSel_1.0.1.tgz, r-oldrel (arm64): svyVarSel_1.0.1.tgz, r-release (x86_64): svyVarSel_1.0.1.tgz, r-oldrel (x86_64): svyVarSel_1.0.1.tgz

Reverse dependencies:

Reverse imports: svyROC

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.