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

[Pavel Krivitsky]

Dear William,

ergm.ego's inference is not, strictly speaking, likelihood-based (see Krivitsky and Morris, 2017), so it doesn't report AIC, BIC, or other likelihood-based quantities.

I hope this helps,
Pavel

On Fri, 2023-09-08 at 01:58 +0000, William Leung wrote:
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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