s2net

The Generalized Semi-Supervised Elastic-Net

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.

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Description file content

Package
s2net
Type
Package
Title
The Generalized Semi-Supervised Elastic-Net
Version
1.0.1
Date
2020-01-08
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 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
BugReports
https://github.com/jlaria/s2net/issues
Encoding
UTF-8
NeedsCompilation
yes
Packaged
2020-01-15 08:16:47 UTC; juank
Author
Juan C. Laria [aut, cre] (), Line H. Clemmensen [aut]
Maintainer
Juan C. Laria
Repository
CRAN
Date/Publication
2020-01-16 13:20:06 UTC

install.packages('s2net')

1.0.1

8 days ago

https://github.com/jlaria/s2net

Juan C. Laria

GPL (>= 2)

Depends on

stats

Imports

Rcpp, methods, MASS

Suggests

knitr, rmarkdown, glmnet, Metrics, testthat

Discussions