Package: dnr
Title: Simulate Dynamic Networks using Exponential Random Graph Models
        (ERGM) Family
Version: 0.3.5
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: 2020-11-30 16:40:08 UTC; avi
Author: Abhirup Mallik [aut, cre],
  Zack Almquist [aut]
Maintainer: Abhirup Mallik <abhirupkgp@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-30 17:10:03 UTC
Built: R 4.6.0; ; 2025-12-02 05:03:13 UTC; windows
