Package: nnmf Type: Package Title: Nonnegative Matrix Factorization Version: 1.6 Date: 2026-07-27 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 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: Sevinc V., Kontemeniotis N., Perdikis T. and Tsagris M. (2026). Non-negative matrix factorization using the R package nnmf , 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 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 . License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: yes Packaged: 2026-10-14 11:42:31 UTC; root Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut] (ORCID: ) Repository: https://cran.r-universe.dev Date/Publication: 2026-07-27 18:20:02 UTC RemoteUrl: https://github.com/cran/nnmf RemoteRef: HEAD RemoteSha: 092d7df865bc3f49ebbd95c83d326794c617254d