SPDyad-ergmProposal {ergm} | R Documentation |
A proposal alternating between TNT and a triad-focused proposal
Description
The specified proportion of the time, the proposal proceeds along the lines of Wang and Atchadé (2013), albeit with different weighting. A dyad is selected uniformly at random from among those dyads with at least one shared partnership or transitivity of the specified type. This is likely to be more efficient for a model with excess triangles.
Details
Reference | Enforces | May_Enforce | Priority | Weight | Class |
---|---|---|---|---|---|
Bernoulli | sparse triadic | .dyads bd | 0 | TNT | cross-sectional |
References
Wang J, Atchadé YF (2013). “Approximate Bayesian Computation for Exponential Random Graph Models for Large Social Networks.” Communications in Statistics - Simulation and Computation, 43(2), 359–377. ISSN 1532-4141, doi:10.1080/03610918.2012.703359.
See Also
ergmProposal
for index of proposals currently visible to the package.
Keywords
None
[Package ergm version 4.9.0 Index]