latentnet: Latent Position and Cluster Models for Statistical Networks

Fit and simulate latent position and cluster models for statistical networks. See Krivitsky and Handcock (2008) <10.18637/jss.v024.i05> and Krivitsky, Handcock, Raftery, and Hoff (2009) <10.1016/j.socnet.2009.04.001>.

Version: 2.10.5
Depends: R (≥ 2.8.0), network, ergm (≥ 3.9.0)
Imports: sna, mvtnorm, abind, coda (≥ 0.17.1), tools, MASS, statnet.common (≥ 4.1.0)
Suggests: KernSmooth, snowFT, rgl, heplots, rlecuyer, ergm.userterms
Published: 2020-03-22
Author: Pavel N. Krivitsky ORCID iD [aut, cre], Mark S. Handcock [aut], Susan M. Shortreed [ctb], Jeremy Tantrum [ctb], Peter D. Hoff [ctb], Li Wang [ctb], Kirk Li [ctb], Jake Fisher [ctb], Jordan T. Bates [ctb]
Maintainer: Pavel N. Krivitsky <pavel at>
License: GPL-3 + file LICENSE
NeedsCompilation: yes
Citation: latentnet citation info
Materials: README NEWS
In views: Cluster, HighPerformanceComputing, SocialSciences
CRAN checks: latentnet results


Reference manual: latentnet.pdf
Package source: latentnet_2.10.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: latentnet_2.10.5.tgz, r-oldrel: latentnet_2.10.5.tgz
Old sources: latentnet archive

Reverse dependencies:

Reverse depends: collpcm
Reverse imports: MEclustnet
Reverse suggests: ergm, statnet


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