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I have multiple GAM models (1000) done for my cross-validation. Now I would like to combine all of these models to an average GAM model, which would be the final model used for prediction. Is this possible and how could it be done?

The GAMs are made with mgcv package.

Thanks!

mokukk
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  • Could this be what you are looking for: http://stats.stackexchange.com/questions/100245/how-to-summarize-gam-model-result-from-multiple-imputation-data-in-r?rq=1 – user146199 Jan 22 '17 at 11:15

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