niandra
2012-May-31 17:33 UTC
[R] Prediction of the lme part of a gamm model estimated with mgcv
Dear useRs, I'm using the mgcv package for estimate a model with a smooth effect and a spatial covarianza matrix. I use the command predict(model$lme) to obtain a prediction with the fixed and random part of the model, but i need this kind of prevision also on a grid with different points than the ones used to estimate the model. I read this: http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html which explain that the problem is "Basically gamm treats all random effects as 'part of the noise' in the model specification". In this discussion seems that there is a way (maybe really difficult) to obtain a prevision of the lme part of a gamm model, but really i don't understand how. Someone can help me. -- View this message in context: http://r.789695.n4.nabble.com/Prediction-of-the-lme-part-of-a-gamm-model-estimated-with-mgcv-tp4631977.html Sent from the R help mailing list archive at Nabble.com.