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cencrne
View on CRAN: Click
here
Download and install cencrne package within the R console
Install from CRAN:
install.packages("cencrne")
Install from Github:
library("remotes")
install_github("cran/cencrne") Install by package version:
library("remotes")
install_version("cencrne", "1.0.0") Attach the package and use:
library("cencrne")
Maintained by
Mingyang Ren
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-09
Latest Update: 2023-01-09
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, .
How to cite:
Mingyang Ren (2023). cencrne: Consistent Estimation of the Number of Communities via Regularized Network Embedding. R package version 1.0.0, https://cran.r-project.org/web/packages/cencrne. Accessed 22 Sep. 2026.
Previous versions and publish date:
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Complete documentation for cencrne
Functions, R codes and Examples using
the cencrne R package
Some associated functions: evaluation . example.data . gen.int . genelambdao . network.comm.num .
Some associated R codes: BIC.value.R . MCP_func.R . MCP_soft.R . S_soft.R . cluster.memb.R . dMatrixFun.R . evaluation.R . example.data.R . fusion.network.R . gen.int.R . gen.weight.R . genelambdao.R . get.cluster.R . mcp_d.R . memb.cluster.R . network.Z.R . network.comm.num.R . obj.value.L.R . obj.value.R . Full cencrne package functions and examples
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