Comments (1)
beckyfisher
commented on July 30, 2024
1
Hi Chenyj8,
the relative importance score is a sum of the weights for all models in which the predictor is present. The p-value for a given predictor will be different within each of those models, so no - it is not possible to provide that across the whole model set. It is possible to extract the p value for predictors in a given model as presented in the underlying gam(m4) output. I have seen this presented from time to time, particularly if their is a clear "top" model according to AICc. Please see the help files for gam, gamm (mgcv) or gamm4 (gamm4) for more information for how those p-values are calculated, as they are nothing to do with the FSSgam package.
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Related Issues (12)
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