Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
ergm.count
is a set of extensions to
R package ergm
to fit and simulate from exponential-family random
graph models for networks whose edge weights are counts. For a list of
functions type help(package='ergm')
and
help(package='ergm.count')
Mainly, it implements Poisson, binomial, geometric, and discrete uniform dyadwise reference measures for valued ERGMs (documented here), and provides some count-specific change statistics (documented here).
For a complete list of the functions, use library(help="ergm")
and library(help="ergm.count")
or read the rest of the manual.
When publishing results obtained using this package, please cite the
original authors as described in citation(package="ergm.count")
.
All programs derived from this package must cite it.
This package contains functions specific to using ergm
to
model networks whose dyad values are counts. Examples include counts of
conversations, messages, and other interactions.
In particular, this package implements the Poisson, geometric, binomial,
and discrete uniform reference measures (documented in ergm-references
) for
use by ergm
and simulate.ergm
to fit models
from this family, as well as statistics specific to modeling counts,
such as the CMP
for the Conway-Maxwell-Poisson Distribution.
For detailed information on how to download and install the software, go to the Statnet project website: statnet.org. A tutorial, support newsgroup, references and links to further resources are provided there.
Pavel N. Krivitsky pavel@uow.edu.au
Handcock MS, Hunter DR, Butts CT, Goodreau SG, Krivitsky PN and Morris M (2012). _Fit, Simulate and Diagnose Exponential-Family Models for Networks_. Version 3.1. Project home page at <URL: http://www.statnet.org>, <URL: CRAN.R-project.org/package=ergm>.
Krivitsky PN (2012). Exponential-Family Random Graph Models for Valued Networks. Electronic Journal of Statistics, 2012, 6, 1100-1128. doi:10.1214/12-EJS696
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