dnr: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

Functions are provided to fit temporal lag models to dynamic networks. The models are build on top of exponential random graph models (ERGM) framework. There are functions for simulating or forecasting networks for future time points. Stable Multiple Time Step Simulation/Prediction from Lagged Dynamic Network Regression Models. Mallik, Almquist (2017, under review).

Version: 0.3.4
Depends: R (≥ 3.2.0), network, ergm
Imports: sna, igraph, arm, glmnet
Suggests: testthat, knitr
Published: 2018-07-26
Author: Abhirup Mallik [aut, cre], Zack Almquist [aut]
Maintainer: Abhirup Mallik <malli066 at umn.edu>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dnr results


Reference manual: dnr.pdf
Vignettes: Dynamic Network Regression Using dnr
Package source: dnr_0.3.4.tar.gz
Windows binaries: r-devel: dnr_0.3.4.zip, r-devel-gcc8: dnr_0.3.4.zip, r-release: dnr_0.3.4.zip, r-oldrel: dnr_0.3.4.zip
OS X binaries: r-release: dnr_0.3.4.tgz, r-oldrel: dnr_0.3.4.tgz
Old sources: dnr archive


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