Formation and Dissolution Constraints for Exponential Family Random Graph Models
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
.
tergm
packageatleast(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.
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/.
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