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
DOI: 10.32614/CRAN.package.tergmLite
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


Reference manual: tergmLite.pdf


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, r-oldrel (x86_64): tergmLite_2.6.1.tgz
Old sources: tergmLite archive


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