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DESCRIPTION
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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 = "[email protected]",
comment = c(ORCID = "0000-0001-7734-9647")),
person("Line H.",
"Clemmensen",,
role = c("aut"),
email = "[email protected]"))
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