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 DOI: 10.32614/CRAN.package.ssr Author: Enrique Garcia-Ceja [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 Documentation: Reference manual: ssr.pdf Vignettes: Introduction to the ssr packagePlease use the canonical form https://CRAN.R-project.org/package=ssr to link to this page.
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