ssr: Semi-Supervised Regression Methods

An implementation of semi-supervised regression methods including self-learning and co-training by committee based on Hady, M. F. A., Schwenker, F., & Palm, G. (2009) <doi:10.1007/978-3-642-04274-4_13>. Users can define which set of regressors to use as base models from the 'caret' package, other packages, or custom functions.

Version: 0.1.1
Depends: R (≥ 3.6.0)
Imports: caret, e1071
Suggests: knitr, rmarkdown, tgp
Published: 2019-09-02
Author: Enrique Garcia-Ceja ORCID iD [aut, cre]
Maintainer: Enrique Garcia-Ceja <e.g.mx at ieee.org>
BugReports: https://github.com/enriquegit/ssr/issues
License: GPL-3
URL: https://github.com/enriquegit/ssr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ssr results

Downloads:

Reference manual: ssr.pdf
Vignettes: Introduction to the ssr package
Package source: ssr_0.1.1.tar.gz
Windows binaries: r-devel: ssr_0.1.1.zip, r-release: ssr_0.1.1.zip, r-oldrel: not available
OS X binaries: r-release: ssr_0.1.1.tgz, r-oldrel: not available
Old sources: ssr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ssr to link to this page.