Package: rNMF
Type: Package
Title: Robust Nonnegative Matrix Factorization
Description: An implementation of robust nonnegative matrix factorization (rNMF). The rNMF algorithm decomposes a nonnegative high dimension data matrix into the product of two low rank nonnegative matrices, while detecting and trimming outliers. The main function is rnmf(). The package also includes a visualization tool, see(), that arranges and prints vectorized images.
Version: 0.5.0
Author: Yifan Ethan Xu <ethan.yifanxu@gmail.com>, Jiayang Sun <jsun@case.edu>
Maintainer: Yifan Ethan Xu <ethan.yifanxu@gmail.com>
Depends: R (>= 2.14.0)
Imports: nnls, knitr
VignetteBuilder: knitr
License: GPL (>= 2)
LazyData: true
Packaged: 2015-02-11 00:55:21 UTC; yifanxu
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-11 07:47:35
Built: R 3.6.3; ; 2020-08-05 03:40:36 UTC; windows
