dnc: Dynamic Network Clustering

Community detection for dynamic networks, i.e., networks measured repeatedly over a sequence of discrete time points, using a latent space approach.

AuthorDaniel K. Sewell
Date of publication2016-05-17 01:13:05
MaintainerDan Sewell <daniel-sewell@uiowa.edu>
LicenseGPL (>= 2)
Version1.2

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Files

dnc
dnc/src
dnc/src/csimulateData.cpp
dnc/src/cposteriorNoOmega.cpp
dnc/src/Makevars
dnc/src/drawXZar.cpp
dnc/src/drawU.cpp
dnc/src/cVBUpdate.cpp
dnc/src/drawTau.cpp
dnc/src/drawS.cpp
dnc/src/Makevars.win
dnc/src/cVBnoClust.cpp
dnc/src/RcppExports.cpp
dnc/src/cllikProj.cpp
dnc/src/drawMiss.cpp
dnc/src/cLogLikelihood.cpp
dnc/NAMESPACE
dnc/data
dnc/data/friendship.rda
dnc/R
dnc/R/RcppExports.R dnc/R/DNCRPackageRCode.R
dnc/MD5
dnc/DESCRIPTION
dnc/man
dnc/man/print.dnc.Rd dnc/man/dnc-package.Rd dnc/man/simulate.dnc.Rd dnc/man/dncMAP.Rd dnc/man/BIC.dnc.Rd dnc/man/dnc.Rd dnc/man/plot.dnc.Rd dnc/man/friendship.Rd dnc/man/Internals.Rd

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