CRAN/E | dnr

dnr

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

Installation

About

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.

Key Metrics

Version 0.3.5
R ≥ 3.2.0
Published 2020-11-30 1248 days ago
Needs compilation? no
License GPL-3
CRAN checks dnr results

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Maintainer

Maintainer

Abhirup Mallik

abhirupkgp@gmail.com

Authors

Abhirup Mallik

aut / cre

Zack Almquist

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Dynamic Network Regression Using dnr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dnr archive

Depends

R ≥ 3.2.0
network
ergm

Imports

sna
igraph
arm
glmnet

Suggests

testthat
knitr