version 0.1.1

DESCRIPTION

@@ -1,17 +1,22 @@
 Package: SpNMF
 Type: Package
 Title: Supervised NMF
-Version: 0.1.0
-Authors@R: person("Yun", "Cai", email = "Yun.Cai@dal.ca", role = c("aut", "cre"))
+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: 2018-09-26 10:10:18 UTC; caiyu
-Author: Yun Cai [aut, cre]
+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: 2018-09-30 22:30:02 UTC
+Date/Publication: 2018-10-03 07:50:03 UTC

MD5

@@ -1,4 +1,4 @@
-2effdade669ff289bfcc98ea189f8e5e *DESCRIPTION
+9cd2ba8a3aeee446796abb5ab1ee5949 *DESCRIPTION
 aa2b5df2d7b24a9d6237843b561babc1 *NAMESPACE
 cd27ebdd56015d47173ab638b4f15cc4 *R/choosing_number_of_types.R
 cd919f5195dd8341bbfb45eb1c910950 *R/supervised_NMF.R