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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ssel" in publications use:'
type: software
license: MIT
title: 'ssel: Semi-Supervised Ensemble Learning'
version: 0.4.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ssel
abstract: Weighted-ensemble regression over base learners supported by 'caret' (Kuhn
  (2008) <https://doi.org/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) <https://doi.org/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.
authors:
- family-names: Verri Kozlowski
  given-names: Alejandro
  email: averri@fi.uba.ar
  orcid: https://orcid.org/0000-0002-8535-1170
preferred-citation:
  type: manual
  title: 'ssel: Semi-Supervised Ensemble Learning'
  authors:
  - family-names: Verri Kozlowski
    given-names: Alejandro
    email: averri@fi.uba.ar
    orcid: https://orcid.org/0000-0002-8535-1170
  year: '2026'
  notes: R package version 0.4.0
  url: https://averriK.github.io/ssel/
repository: https://averrik.r-universe.dev
commit: 608eaa5286c0914df22a106669bca70cfd631b2b
url: https://averriK.github.io/ssel/
date-released: '2026-08-24'
contact:
- family-names: Verri Kozlowski
  given-names: Alejandro
  email: averri@fi.uba.ar
  orcid: https://orcid.org/0000-0002-8535-1170