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.
Model average error message
2 messages · Helen McCallin, Phillip Alday
2 days later
Hi Helen, model.avg() tells you which models are duplicates. What do the formulas look like for those models? Seeing the formulae may help identify what model.avg() gets stuck on. Best, Phillip
On 07/23/2018 11:33 AM, Helen McCallin wrote:
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. [[alternative HTML version deleted]]
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