Hi all, I have the same question for a GAMM with quasi-poisson errors. Does anyone know how to calculate the % deviance explained by a GAMM model or any other method evaluating the % contribution of the model in explaining the response variable (eg. number of birds in an area)?
Thanks Nicole However, when a gamm (generalizad aditive mixed model) is fitted, the deviance is not displayed, and only the logLik of the underlying lme model can be derived (logLik(objetct.gamm$lme)), which is not enough to derive the percentage deviance explained because the logLik for the saturated model is not available. Any suggestions on how to obtain the deviance explained when a gamm is fitted when the typical default gauusian model is fitted? Or alternavely, are the R^2 derived from a gam model and a gamm model comparable? -- View this message in context: http://www.nabble.com/Deviance-explined-in-GAMM%2C-library-mgcv-tp23745983p23864721.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
