Dear R users,
I am trying to fit a gls model and weight my data points using a
VarFixed structure. I have found many examples, but I do not
understand the difference between the following models with varFixed
specified in a different way:
mod<-gls(y~x,weights=varFixed(~1/invsigma)
mod<-gls(y~x,weights=varFixed(~invsigma)
In my case I would simply like to weigh my data points by their
inverse variance.
Any help would be greatly appreciated!
Cheers,
Agostino