Message-ID: <DB6PR1001MB138280A451E5B703AB9BCE80AE560@DB6PR1001MB1382.EURPRD10.PROD.OUTLOOK.COM>
Date: 2018-07-23T09:33:03Z
From: Helen McCallin
Subject: Model average error message
Hi
I am running a glmer model on a response variable with binomial distribution and random term. My data has 3 explanatory categorical variables and I have successfully run dredge() on them and their interactions to get AICc values.
I want model averaging to provide output with coefficients and an index of relative importance of fixed effects from those models; within a delta constraint that I specify.I can get this using the code below for alternative datasets but not for this dataset.
model.avg() produces this error message:
Error in model.avg.default(get.models(models, subset = delta < 5)) : models are not unique. Duplicates: '2 = 3 = 4' and '10 = 11'
This doesn't make sense, DREDGE does not (cannot) produce duplicate models ? each model is a unique iteration within the full model, yet the error message indicates that MODEL AVERAGE identified ?duplicate? models from within DREDGE output. R fails to run MODEL AVERAGE under these circumstances - producing no further output.
Has anyone else experienced similar problem (with 'not unique', duplicate models) via MODEL AVERAGE?
Is there a workaround for the error that prevents me running MODEL AVERAGE due to perceived ?duplicate? models in DREDGE?
Many thanks for any help anyone can provide.
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