Classifier Chain Network for Multi-Label Classification R package CCNR version 0.2.0 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>. Software Depends: R (>= 4.4.0) Imports: Rcpp (>= 1.0.9), MASS, stats, utils LinkingTo: Rcpp, RcppEigen Suggests: testthat (>= 3.0.0) Daniel J.W. Touw <touw@ese.eur.nl> Comprehensive R Archive Network (CRAN) Daniel J.W. Touw [aut, cre] (ORCID: <https://orcid.org/0000-0003-3074-5401>), Michel Van de Velden [ths] (ORCID: <https://orcid.org/0000-0002-9807-9057>, PhD advisor of Daniel J.W. Touw) GPL-3 2026-11-04 application/tgz https://CRAN.R-project.org/package=CCNR doi:10.32614/CRAN.package.CCNR