[statnet_help] AIC and BIC from package:ergm.ego

[William Leung]

To the Statnet team,

I have been fitting ERGMs with package:ergm.ego and would now like to do some formal, data driven model selection using AIC or BIC.

I am aware that this is calculated within package:ergm, but is this the case for package:ergm.ego?

If not, can this be simply calculated from the log likelihood (`model$loglikelihood`) as per convention? (e.g. AIC = − 2 × ln likelihood +2 k +1), or is this an oversimplification?

Many thanks and best wishes,

Will







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