# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "nmfkc" in publications use:' type: software license: MIT title: 'nmfkc: Non-Negative Matrix Factorization with Kernel Covariates' version: 0.7.3 identifiers: - type: doi value: 10.32614/CRAN.package.nmfkc abstract: 'Performs Non-negative Matrix Factorization (NMF) with Kernel Covariates. Given an observation matrix and kernel covariates, it optimizes both a basis matrix and a parameter matrix. Notably, if the kernel matrix is an identity matrix, the method simplifies to standard NMF. Also provides NMF with Random Effects (NMF-RE) via nmfre(), which estimates a mixed-effects model combining covariate-driven scores with unit-specific random effects together with wild bootstrap inference, and NMF-based Structural Equation Modeling (NMF-SEM) via nmf.sem(), which fits a two-block input-output model for blind source separation and path analysis. References: Satoh (2025) ; Satoh (2025) ; Satoh (2025) ; Satoh (2026) ; Satoh (2026) .' authors: - family-names: Satoh given-names: Kenichi email: kenichi-satoh@biwako.shiga-u.ac.jp orcid: https://orcid.org/0000-0003-4436-9347 preferred-citation: type: manual title: 'nmfkc: Non-negative Matrix Factorization with Kernel Covariates' authors: - family-names: Satoh given-names: Kenichi email: kenichi-satoh@biwako.shiga-u.ac.jp orcid: https://orcid.org/0000-0003-4436-9347 year: '2026' notes: R package version 0.6.7 url: https://CRAN.R-project.org/package=nmfkc repository: https://ksatohds.r-universe.dev repository-code: https://github.com/ksatohds/nmfkc commit: c6803b3d31b830e78b2898b15bd7f63dd1fe9ed4 url: https://ksatohds.github.io/nmfkc/ date-released: '2026-05-14' contact: - family-names: Satoh given-names: Kenichi email: kenichi-satoh@biwako.shiga-u.ac.jp orcid: https://orcid.org/0000-0003-4436-9347 references: - type: generic title: Wild Bootstrap Inference for Non-Negative Matrix Factorization with Random Effects authors: - family-names: Satoh given-names: Kenichi year: '2026' notes: arXiv:2603.01468 url: https://arxiv.org/abs/2603.01468 - type: generic title: Applying non-negative matrix factorization with covariates to structural equation modeling for blind input-output analysis authors: - family-names: Satoh given-names: Kenichi year: '2025' notes: arXiv:2512.18250 url: https://arxiv.org/abs/2512.18250 - type: generic title: Applying non-negative matrix factorization with covariates to label matrix for classification authors: - family-names: Satoh given-names: Kenichi year: '2025' notes: arXiv:2510.10375 url: https://arxiv.org/abs/2510.10375 - type: article title: Applying non-negative Matrix Factorization with Covariates to Multivariate Time Series Data as a Vector Autoregression Model authors: - family-names: Satoh given-names: Kenichi journal: Japanese Journal of Statistics and Data Science year: '2025' doi: 10.1007/s42081-025-00314-0 - type: generic title: Applying Non-negative Matrix Factorization with Covariates to the Longitudinal Data as Growth Curve Model authors: - family-names: Satoh given-names: Kenichi year: '2024' notes: arXiv:2403.05359 url: https://arxiv.org/abs/2403.05359 - type: article title: On Non-negative Matrix Factorization Using Gaussian Kernels as Covariates authors: - family-names: Satoh given-names: Kenichi journal: Japanese Journal of Applied Statistics year: '2023' volume: '52' issue: '2' doi: 10.5023/jappstat.52.59 start: '1' end: '16'