statnet.common (>= 4.5.0), RColorBrewer (>= 1.1.2), purrr (>=
0.3.2), tibble (>= 2.1.1), dplyr, survey, stats, methods

ergm.graphlets: A Package for ERG Modeling Based on Graphlet
Properties
c( person("Omer Nebil", "Yaveroglu", role=c("aut", "cre"), email="o.yaveroglu10@imperial.ac.uk"),
person("Sean M.", "Fitzhugh", role=c("aut"), email="sean.fitzhugh@uci.edu"),
person("Maciej", "Kurant", role=c("aut"), email="maciej.kurant@gmail.com"),
person("Athina", "Markopoulou", role=c("aut"), email="athina@uci.edu"),
person("Natasa", "Przulj", role=c("aut"), email="natasha@imperial.ac.uk"),
person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"))
A package integrating graphlet statistics based model terms
for use in "ergm" models as part of the "statnet" suite of packages.
Omer Nebil Yaveroglu [aut, cre],
Sean M. Fitzhugh [aut],
Maciej Kurant [aut],
Athina Markopoulou [aut],
Natasa Przulj [aut],
Carter T. Butts [aut]

ERG Modeling Based on Graphlet Properties
Integrates graphlet statistics based model terms for use in exponential-family random graph models ('ergm') as part of the 'statnet' suite of packages.

Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks
c(person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@statnet.org", comment=c(ORCID="0000-0002-9101-3362")),
person("Mark S.", "Handcock", role=c("ctb"), email="handcock@stat.ucla.edu"),
person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
person("Chad", "Klumb", role=c("ctb"), email="cklumb@gmail.com"),
person("Pietro", "Coletti", role=c("ctb"), email="pietro.coletti@uhasselt.be"),
person("Joyce", "Cheng", role=c("ctb"), email="joyce.cheng@student.unsw.edu.au"))
statnet.common (>= 4.6.0), rlang, purrr (>= 0.2.4), tibble (>=
1.4.2), Matrix, methods, parallel, glue, rle, Rdpack (>= 0.8.2)
A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2022) <doi:10.48550/arXiv.2202.03685>.
Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>),
Mark S. Handcock [ctb],
David R. Hunter [ctb],
Chad Klumb [ctb],
Pietro Coletti [ctb],
Joyce Cheng [ctb]