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ergm-constraints

Formation and Dissolution Constraints for Exponential Family Random Graph Models


Description

This page describes the network sample space constraints that are included with the tergm package. For more information, and instructions for using constraints, see ergm-constraints and ergm.

Constraints implemented in the tergm package

atleast(nw)

The Formation Constraint: Preserve all ties in network nw. Only dyads that are not ties in nw may be changed.

atmost(nw)

The Dissolution Constraint: Prevent all nonties in network nw. Only dyads that have ties in nw may be changed.

References

Krivitsky PN and Handcock MS (2014) A Separable Model for Dynamic Networks. Journal of the Royal Statistical Society, Series B, 76(1): 29-46. doi: 10.1111/rssb.12014

Goodreau SM, Handcock MS, Hunter DR, Butts CT, Morris M (2008a). A statnet Tutorial. Journal of Statistical Software, 24(8). https://www.jstatsoft.org/v24/i08/.

Hunter, D. R. and Handcock, M. S. (2006) Inference in curved exponential family models for networks, Journal of Computational and Graphical Statistics.

Hunter DR, Handcock MS, Butts CT, Goodreau SM, Morris M (2008b). ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. Journal of Statistical Software, 24(3). https://www.jstatsoft.org/v24/i03/.

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

Morris M, Handcock MS, Hunter DR (2008). Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. Journal of Statistical Software, 24(4). https://www.jstatsoft.org/v24/i04/.


tergm

Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models

v3.7.0
GPL-3 + file LICENSE
Authors
Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Mark S. Handcock [aut, ths], David R. Hunter [ctb], Steven M. Goodreau [ctb, ths], Martina Morris [ctb, ths], Nicole Bohme Carnegie [ctb], Carter T. Butts [ctb], Ayn Leslie-Cook [ctb], Skye Bender-deMoll [ctb], Li Wang [ctb], Kirk Li [ctb], Chad Klumb [ctb]
Initial release
2020-10-15

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