Package: nnmf
Type: Package
Title: Nonnegative Matrix Factorization
Version: 1.4
Date: 2026-04-12
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, rangen, Rfast, Rglpk, sparcl, stats
LinkingTo: Rcpp, RcppEigen
Suggests: Rfast2
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: 2026-07-04 16:49:45 UTC; root
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut],
        Christos Adam [aut] (ORCID:
        <https://orcid.org/0009-0003-3244-7034>)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-13 03:55:44 UTC
RemoteUrl: https://github.com/cran/nnmf
RemoteRef: HEAD
RemoteSha: e8b8c489531e4da9c9adf61c0166f23a3844e6f3