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 [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.html , 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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