| nnmf-package | Nonnegative Matrix Factorization |
| init | Initialization strategies for the NMF based on the k-means |
| nmf.hals | NMF minimizing using the hierarchical ALS algorithm |
| nmf.manh | Simplicial NMF minimizing the Manhattan distance |
| nmf.qp | NMF minimizing the Frobenius norm |
| nmf.sqp | NMF minimizing the Frobenius norm |
| nmfqp.cv | K-fold cross-validation for choosing the rank in NMF |
| nmfqp.pred | Prediction of new values using NMF |
| nmfqp.reg | NMF with covariates minimizing the Frobenius norm |