Package: SpNMF
Type: Package
Title: Supervised NMF
Version: 0.1.1
Authors@R: c(
    person("Yun","Cai",email="Yun.Cai@dal.ca",role= c("aut","cre")),
    person("Hong","Gu",email="hgu@dal.ca",role="aut"),
    person("Toby","Kenney",email="tkenney@mathstat.dal.ca",role="aut"))
Description: Non-negative Matrix Factorization(NMF) is a powerful tool for identifying the key features of microbial communities and a dimension-reduction method. When we are interested in the differences between the structures of two groups of communities, supervised NMF(Yun Cai, Hong Gu and Tobby Kenney (2017),<doi:10.1186/s40168-017-0323-1>) provides a better way to do this, while retaining all the advantages of NMF -- such as interpretability, and being based on a simple biological intuition.
Depends: R (>= 3.2.3),
Imports: NMF, stats
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-10-02 21:15:17 UTC; caiyu
Maintainer: Yun Cai <Yun.Cai@dal.ca>
Author: Yun Cai [aut, cre],
  Hong Gu [aut],
  Toby Kenney [aut]
Repository: CRAN
Date/Publication: 2018-10-03 07:50:03 UTC
Built: R 4.6.0; ; 2026-04-26 10:34:00 UTC; unix
