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ssel  

Semi-Supervised Ensemble Learning
View on CRAN: Click here


Download and install ssel package within the R console
Install from CRAN:
install.packages("ssel")

Install from Github:
library("remotes")
install_github("cran/ssel")

Install by package version:
library("remotes")
install_version("ssel", "0.4.0")



Attach the package and use:
library("ssel")
Maintained by
Alejandro Verri Kozlowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-28
Latest Update: 2026-07-28
Description:
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.
How to cite:
Alejandro Verri Kozlowski (2026). ssel: Semi-Supervised Ensemble Learning. R package version 0.4.0, https://cran.r-project.org/web/packages/ssel. Accessed 03 Nov. 2026.
Previous versions and publish date:
(2026-10-26 04:40), 0.3.1 (2026-07-28 18:50), 0.4.0 (2026-08-24 20:50)
Other packages that cited ssel R package
View ssel citation profile
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Complete documentation for ssel
Functions, R codes and Examples using the ssel R package
Full ssel package functions and examples
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