nmfkc
Non-Negative Matrix Factorization with Kernel Covariates
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) <doi:10.48550/arXiv.2403.05359>; Satoh (2025) <doi:10.48550/arXiv.2510.10375>; Satoh (2025) <doi:10.48550/arXiv.2512.18250>; Satoh (2026) <doi:10.48550/arXiv.2603.01468>; Satoh (2026) <doi:10.1007/s42081-025-00314-0>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.7 |
rolling linux/jammy R-4.5 | nmfkc_0.6.7.tar.gz |
717.9 KiB |
0.6.7 |
rolling linux/noble R-4.5 | nmfkc_0.6.7.tar.gz |
717.9 KiB |
0.6.7 |
rolling source/ R- | nmfkc_0.6.7.tar.gz |
320.8 KiB |
0.6.7 |
latest linux/jammy R-4.5 | nmfkc_0.6.7.tar.gz |
717.9 KiB |
0.6.7 |
latest linux/noble R-4.5 | nmfkc_0.6.7.tar.gz |
717.9 KiB |
0.6.7 |
latest source/ R- | nmfkc_0.6.7.tar.gz |
320.8 KiB |
0.6.7 |
2026-04-26 source/ R- | nmfkc_0.6.7.tar.gz |
320.8 KiB |
0.6.7 |
2026-04-23 source/ R- | nmfkc_0.6.7.tar.gz |
320.8 KiB |