You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
periodic terms (cyclic tie probability as a function of model time, to capture weekly/seasonal activity patterns)
as a function of categorical variables on edges or vertex dyads. I notice one of steve's models is keeping two seperate network objects, one for long duration ties and one for short duration ties. Seems like ideally should be able to express this in a single model
I forget what some of the other ones were, maybe they will come back
Edit: My bad, didn't realize this was for ergm.ego.
periodic terms (cyclic tie probability as a function of model time, to capture weekly/seasonal activity patterns)
I don't know what the "sufficient statistic" for that would be. Any thoughts?
as a function of categorical variables on edges or vertex dyads.
Mean age by covariate should be doable.
I notice one of steve's models is keeping two seperate network objects, one for long duration ties and one for short duration ties. Seems like ideally should be able to express this in a single model
So far, only
mean.age
is implemented.What terms are needed?
The text was updated successfully, but these errors were encountered: