Package: dnr
Title: Simulate Dynamic Networks using Exponential Random Graph Models
        (ERGM) Family
Version: 0.3.6
Authors@R: c(person("Abhirup", "Mallik", email = "abhirupkgp@gmail.com",
                  role = c("aut", "cre")),
  		person("Zack", "Almquist", email = "almquist@umn.edu",
		  role = c("aut")))
Description: 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.
        Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time
        Step Simulation/Prediction From Lagged Dynamic Network
        Regression Models, Journal of Computational and Graphical
        Statistics, 28:4, 967-979, <DOI:
        10.1080/10618600.2019.1594834>.
Depends: R (>= 3.2.0), network, ergm
License: GPL-3
LazyData: yes
Imports: sna, igraph, arm, glmnet
Suggests: testthat, knitr
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-10-06 10:39:51 UTC; root
Author: Abhirup Mallik [aut, cre], Zack Almquist [aut]
Maintainer: Abhirup Mallik <abhirupkgp@gmail.com>
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libxml2-dev
Repository: https://abhirupkgp.r-universe.dev
Date/Publication: 2026-03-10 06:50:02 UTC
RemoteUrl: https://github.com/cran/dnr
RemoteRef: HEAD
RemoteSha: 962c179e48adc907f0619e10e14d9b3c2ceb1a82