ergm.rank-package: Fit, Simulate and Diagnose Exponential-Family Models for...

Description Details Author(s) References See Also

Description

ergm.rank 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 ranks. For a list of functions type help(package='ergm') and help(package='ergm.rank')

Mainly, it implements the CompleteOrder reference measure for valued ERGMs (documented here), and provides some rank-order change statistics (documented here).

For a complete list of the functions, use library(help="ergm") and library(help="ergm.rank") 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.rank").

All programs derived from this package must cite it.

Details

This package contains functions specific to using ergm to model networks whose dyad values are ranks. Examples include preferences, valued ties reduced to ranks, etc..

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.

Author(s)

Pavel N. Krivitsky [email protected]

References

Krivitsky PN (2012). Exponential-Family Random Graph Models for Valued Networks. Electronic Journal of Statistics, 2012, 6, 1100-1128. doi: 10.1214/12-EJS696

Krivitsky PN and Butts CT (2012). Exponential-Family Random Graph Models for Rank-Order Relational Data. http://arxiv.org/abs/1210.0493

See Also

ergm-terms, ergm-references


ergm.rank documentation built on May 15, 2019, 9:03 a.m.