CCNR: Classifier Chain Network for Multi-Label Classification
Fits a Classifier Chain Network (CCN) for multi-label binary classification. The model jointly learns label dependencies through a chain structure and optimizes an Lq norm aggregated cross-entropy loss. Provides methods for prediction, model summary, and k-fold cross-validation with grid search over hyperparameters. The methodology is described in Touw and Van de Velden (2025) <doi:10.1016/j.eswa.2025.128048>.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.4.0) |
| Imports: | Rcpp (≥ 1.0.9), MASS, stats, utils |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-11-04 |
| DOI: | 10.32614/CRAN.package.CCNR (may not be active yet) |
| Author: | Daniel J.W. Touw 
[aut, cre],
Michel Van de Velden
[ths] (PhD
advisor of Daniel J.W. Touw) |
| Maintainer: | Daniel J.W. Touw <touw at ese.eur.nl> |
| BugReports: | https://github.com/djwtouw/CCNR/issues |
| License: | GPL-3 |
| URL: | https://github.com/djwtouw/CCNR |
| NeedsCompilation: | yes |
| Citation: | CCNR citation info |
| Materials: | README, NEWS |
| CRAN checks: | CCNR results |
Documentation:
| Reference manual: | CCNR.html , CCNR.pdf |
Downloads:
| Package source: | CCNR_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): CCNR_0.2.0.tgz, r-oldrel (x86_64): not available |
Linking:
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