Package: nnmf
Type: Package
Title: Nonnegative Matrix Factorization
Version: 1.3
Date: 2026-03-17
Authors@R: c( person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr"), 
              person("Nikolaos", "Kontemeniotis", role = "aut", email = "kontemeniotisn@gmail.com" ),
              person("Christos", "Adam", role = "aut", email = "pada4m4@gmail.com", comment = c(ORCID = "0009-0003-3244-7034") ))
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rcpp, ClusterR, Compositional, graphics, Matrix, osqp,
        parallel, quadprog, Rfast, Rfast2, Rglpk, sparcl, stats
LinkingTo: Rcpp, RcppEigen
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)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-17 08:59:07 UTC; mtsag
Author: Michail Tsagris [aut, cre],
  Nikolaos Kontemeniotis [aut],
  Christos Adam [aut] (ORCID: <https://orcid.org/0009-0003-3244-7034>)
Repository: CRAN
Date/Publication: 2026-03-17 10:10:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-03-28 10:25:01 UTC; unix
Archs: nnmf.so.dSYM
