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),) 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: 2026-06-22 08:40:48 UTC; root Maintainer: Yun Cai Author: Yun Cai [aut, cre], Hong Gu [aut], Toby Kenney [aut] Repository: https://cran.r-universe.dev Date/Publication: 2018-10-03 06:50:03 UTC RemoteUrl: https://github.com/cran/SpNMF RemoteRef: HEAD RemoteSha: f181f1cd837286f5b5e21cb326e49c705d763e17