ssel: Semi-Supervised Ensemble Learning

Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge.

Version:	0.3.1
Depends:	R (≥ 4.1.0)
Imports:	caret, crayon, data.table, dbscan, digest, doParallel, earth, foreach, gbm, jsonlite, ranger, stats, utils
Suggests:	devtools, htmlwidgets, knitr, pak, pkgdown, rcmdcheck, rmarkdown, roxygen2, rhub, testthat (≥ 3.0.0), webshot2
Published:	2026-07-28
DOI:	10.32614/CRAN.package.ssel
Author:	Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer:	Alejandro Verri Kozlowski <averri at fi.uba.ar>
License:	MIT + file LICENSE
URL:	https://averriK.github.io/ssel/
NeedsCompilation:	no
Language:	en-US
Citation:	ssel citation info
Materials:	README, NEWS
CRAN checks:	ssel results

Documentation:

Reference manual:	ssel.html , ssel.pdf
Vignettes:	Iterative multi-response input expansion (source, R code) Ensemble estimators and residual offsets (source, R code) Range-ratio pseudo-label promotion (source, R code) Getting started with ssel (source, R code)

Downloads:

Package source:	ssel_0.3.1.tar.gz
Windows binaries:	r-devel: ssel_0.3.1.zip, r-release: ssel_0.3.1.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): ssel_0.3.1.tgz, r-oldrel (arm64): ssel_0.3.1.tgz, r-release (x86_64): ssel_0.3.1.tgz, r-oldrel (x86_64): ssel_0.3.1.tgz

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