rNMF: Robust Nonnegative Matrix Factorization

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
Depends:	R (≥ 2.14.0)
Imports:	nnls, knitr
Published:	2015-02-11
Author:	Yifan Ethan Xu, Jiayang Sun
Maintainer:	Yifan Ethan Xu <ethan.yifanxu at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	rNMF results

Documentation:

Reference manual:	rNMF.pdf
Vignettes:	rNMF

Downloads:

Package source:	rNMF_0.5.0.tar.gz
Windows binaries:	r-devel: rNMF_0.5.0.zip, r-release: rNMF_0.5.0.zip, r-oldrel: rNMF_0.5.0.zip
macOS binaries:	r-release (arm64): rNMF_0.5.0.tgz, r-oldrel (arm64): rNMF_0.5.0.tgz, r-release (x86_64): rNMF_0.5.0.tgz, r-oldrel (x86_64): rNMF_0.5.0.tgz

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