Package: svyVarSel
Title: Variable Selection for Complex Survey Data
Version: 1.0.1
Authors@R: 
    c(person("Amaia", "Iparragirre", , "amaia.iparragirre@ehu.eus", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-0660-6535")),
      person("Thomas", "Lumley", role = c("aut")),
      person("Irantzu", "Barrio", role = c("aut")),
      person("Inmaculada", "Arostegui", role = c("aut")))
Maintainer: Amaia Iparragirre <amaia.iparragirre@ehu.eus>
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: survey, glmnet
Depends: R (>= 2.10)
LazyData: true
Config/pak/sysreqs: make
Repository: https://aiparragirre.r-universe.dev
Date/Publication: 2024-10-16 14:07:45 UTC
RemoteUrl: https://github.com/aiparragirre/svyvarsel
RemoteRef: HEAD
RemoteSha: ee8240efb85189c7420d88a3ab9faca2ceec0744
NeedsCompilation: no
Packaged: 2026-07-12 08:23:27 UTC; root
Author: Amaia Iparragirre [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-0660-6535>),
  Thomas Lumley [aut],
  Irantzu Barrio [aut],
  Inmaculada Arostegui [aut]