lvm4net: Latent Variable Models for Networks

Latent variable models for network data using fast inferential procedures. For more information please visit: <http://igollini.github.io/lvm4net/>.

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 gmail.com>
BugReports: http://github.com/igollini/lvm4net/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/igollini/lvm4net
NeedsCompilation: no
Materials: README
CRAN checks: lvm4net results

Downloads:

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: lvm4net_0.3.zip, r-release: lvm4net_0.3.zip, r-oldrel: lvm4net_0.3.zip
OS X binaries: r-release: lvm4net_0.3.tgz, r-oldrel: lvm4net_0.3.tgz
Old sources: lvm4net archive

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