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: 2.6.1
Depends: R (≥ 3.5), ergm (≥ 4.0), tergm (≥ 4.0)
Imports: statnet.common (≥ 4.4.0), network (≥ 1.17.0), networkDynamic (≥ 0.11.0), Rcpp, tibble, methods
LinkingTo: Rcpp, ergm
Suggests: testthat, EpiModel (≥ 2.0.5)
Published: 2022-07-20
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 NEWS
CRAN checks: tergmLite results

Documentation:

Reference manual: tergmLite.pdf

Downloads:

Package source: tergmLite_2.6.1.tar.gz
Windows binaries: r-devel: tergmLite_2.6.1.zip, r-release: tergmLite_2.6.1.zip, r-oldrel: tergmLite_2.6.1.zip
macOS binaries: r-release (arm64): tergmLite_2.6.1.tgz, r-oldrel (arm64): tergmLite_2.6.1.tgz, r-release (x86_64): tergmLite_2.6.1.tgz
Old sources: tergmLite archive

Linking:

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