tergmLite: Fast Simulation of Simple Temporal Exponential Random Graph Models

Provides functions for the computationally efficient simulation of dynamic networks estimated with the statistical framework of temporal exponential random graph models, implemented in the 'tergm' package.

Version: 2.1.7
Depends: R (≥ 3.2.0)
Imports: ergm (≥ 3.10.4), statnet.common (≥ 4.3.0), tergm (≥ 3.6.1), network (≥ 1.16.0), Rcpp
LinkingTo: Rcpp, ergm
Suggests: testthat, EpiModel (≥ 1.7.5)
Published: 2020-02-29
Author: Samuel M. Jenness [aut, cre], Chad Klumb [aut]
Maintainer: Samuel M. Jenness <samuel.m.jenness at emory.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: tergmLite results

Downloads:

Reference manual: tergmLite.pdf
Package source: tergmLite_2.1.7.tar.gz
Windows binaries: r-devel: tergmLite_2.1.7.zip, r-release: tergmLite_2.1.7.zip, r-oldrel: tergmLite_2.1.7.zip
macOS binaries: r-release: tergmLite_2.1.7.tgz, r-oldrel: tergmLite_2.1.7.tgz

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