Package: nnmf
Type: Package
Title: Nonnegative Matrix Factorization
Version: 1.1
Date: 2026-02-03
Authors@R: person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr")
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: ClusterR, Matrix, osqp, parallel, quadprog, Rfast, Rfast2,
        Rglpk, sparcl, stats
Description: Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Covariates are also allowed. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6), 1336-1353 <doi:10.1109/TKDE.2012.51> and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2), 713-730 <doi:10.1137/07069239X>.  
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-02-03 10:34:51 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-02-03 11:10:02 UTC
Built: R 4.6.0; ; 2026-02-28 03:45:42 UTC; windows
