Package: nmfgpu4R
Type: Package
Title: Non-Negative Matrix Factorization (NMF) using CUDA
Version: 0.2.5
Date: 2016-05-30
Author: Sven Koitka [aut, cre, cph],
    Christoph M. Friedrich [ctb]
Maintainer: Sven Koitka <sven.koitka@fh-dortmund.de>
Description: Wrapper package for the nmfgpu library, which implements several
    Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms.
    By using the acceleration of GPGPU computing, the NMF can be used for
    real-world problems inside the R environment. All CUDA devices starting with
    Kepler architecture are supported by the library.
License: GPL-3 | file LICENSE
URL: https://github.com/razorx89/nmfgpu4R
BugReports: https://github.com/razorx89/nmfgpu4R/issues
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.11.4), Matrix, SparseM, stats, stringr, tools,
        utils
Suggests: gdata
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-30 09:12:51 UTC; Sven Koitka
Repository: CRAN
Date/Publication: 2016-05-30 15:58:29
