Package: cencrne
Title: Consistent Estimation of the Number of Communities via
        Regularized Network Embedding
Version: 1.0.0
Authors@R: 
    c(person("Mingyang", "Ren", email = "renmingyang17@mails.ucas.ac.cn", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8061-9940")),
      person("Sanguo", "Zhang", role = c("aut")),
      person("Junhui", "Wang", role = c("aut")))
Description: The network analysis plays an important role in numerous application domains including biomedicine. 
             Estimation of the number of communities is a fundamental and critical issue in network analysis. Most existing studies assume that the number of communities is known a priori, or lack of rigorous theoretical guarantee on the estimation consistency. This method proposes a regularized network embedding model to simultaneously estimate the community structure and the number of communities in a unified formulation. 
	           The proposed model equips network embedding with a novel composite regularization term, which pushes the embedding vector towards its center and collapses similar community centers with each other. A rigorous theoretical analysis is conducted, establishing asymptotic consistency in terms of community detection and estimation of the number of communities. 
	           Reference: 
             Ren, M., Zhang S. and Wang J. (2022). "Consistent Estimation of the Number of Communities via Regularized Network Embedding". Biometrics, <doi:10.1111/biom.13815>.
License: GPL-2
Encoding: UTF-8
Imports: MASS, Matrix
LazyData: true
LazyLoad: yes
RoxygenNote: 7.1.2
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-12-27 15:56:52 UTC; 10259
Author: Mingyang Ren [aut, cre] (<https://orcid.org/0000-0002-8061-9940>),
  Sanguo Zhang [aut],
  Junhui Wang [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>
Repository: CRAN
Date/Publication: 2023-01-09 10:00:05 UTC
Built: R 4.1.2; ; 2023-01-10 11:56:27 UTC; unix
