lvm4net: Latent Variable Models for Networks

Latent variable models for network data using fast inferential procedures. For more information please visit: <>.

Version: 0.3
Depends: R (≥ 3.5), MASS, ergm, network
Imports: igraph, grDevices, graphics, ellipse, stats, utils, glmmML, mvtnorm, corpcor
Suggests: knitr, rmarkdown, manet, colorspace
Published: 2019-06-13
Author: Isabella Gollini ORCID iD [aut, cre]
Maintainer: Isabella Gollini <igollini.stats at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: lvm4net results


Reference manual: lvm4net.pdf
Vignettes: MLTA - Code for Gollini, I. (in press) - A mixture model approach for clustering bipartite networks


Package source: lvm4net_0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lvm4net_0.3.tgz, r-oldrel (arm64): lvm4net_0.3.tgz, r-release (x86_64): lvm4net_0.3.tgz, r-oldrel (x86_64): lvm4net_0.3.tgz
Old sources: lvm4net archive

Reverse dependencies:

Reverse imports: jlsm


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