Hello, could you please provide your thoughts on what I may be missing? gamlss models are supposedly supported by MuMIn yet this one fails:
library(MuMIn) #this lm runs linearMod <- lm(Sepal.Length ~ ., data=iris) options(na.action = "na.fail") res <-dredge(linearMod,beta = T, evaluate = T) confset.95p<-get.models(res, subset = cumsum(weight) <= .95) avgm <- model.avg(confset.95p) predict(avgm,se.fit = TRUE, type="response") #this gamlss fails on dredge(), and writing out the formula does not solve the initial error... gamlssMod <- gamlss(Sepal.Length ~ ., data=iris,) res <-dredge(gamlssMod,beta = T, evaluate = T) confset.95p<-get.models(res, subset = cumsum(weight) <= .95) avgm <- model.avg(confset.95p) predict(avgm,se.fit = TRUE, type="response") options(na.action = "na.omit") appreciate any thoughts you may have, Andras ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
