Package: s2net
Type: Package
Title: The Generalized Semi-Supervised Elastic-Net
Version: 1.0.5
Date: 2024-03-04
Authors@R: c(person("Juan C.",
           "Laria",,
           role = c("aut", "cre"),
           email = "juank.laria@gmail.com",
           comment = c(ORCID = "0000-0001-7734-9647")),
    person("Line H.",
           "Clemmensen",,
           role = c("aut"),
           email = "lkhc@dtu.dk"))
Description: Implements the generalized semi-supervised elastic-net.
        This method extends the supervised elastic-net problem, and
        thus it is a practical solution to the problem of feature
        selection in semi-supervised contexts. Its mathematical
        formulation is presented from a general perspective, covering a
        wide range of models.  We focus on linear and logistic
        responses, but the implementation could be easily extended to
        other losses in generalized linear models. We develop a
        flexible and fast implementation, written in 'C++' using
        'RcppArmadillo' and integrated into R via 'Rcpp' modules. See
        Culp, M. 2013 <doi:10.1080/10618600.2012.657139> for references
        on the Joint Trained Elastic-Net.
License: GPL (>= 2)
Imports: Rcpp, methods, MASS
Depends: stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, glmnet, Metrics, testthat
VignetteBuilder: knitr
URL: https://github.com/jlaria/s2net
BugReports: https://github.com/jlaria/s2net/issues
Encoding: UTF-8
RoxygenNote: 7.2.0
Repository: https://jlaria.r-universe.dev
Date/Publication: 2024-03-07 18:12:18 UTC
RemoteUrl: https://github.com/jlaria/s2net
RemoteRef: HEAD
RemoteSha: 35e87106ebe32ce9c01f62801574284563998c69
NeedsCompilation: yes
Packaged: 2026-07-06 09:19:35 UTC; root
Author: Juan C. Laria [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7734-9647>),
  Line H. Clemmensen [aut]
Maintainer: Juan C. Laria <juank.laria@gmail.com>