DESCRIPTION

Package: nmfgpu4R
Type: Package
Title: Non-Negative Matrix Factorization (NMF) using CUDA
Version: 0.2.5.3
Date: 2017-02-20
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
SystemRequirements: 
	CUDA >= v7.0,
	Nvidia GPU (e.g. GeForce or Tesla) with compute capability >= 3.0 (Kepler)