Hi there,
 
I am using glms. Could someone please explain what's the difference
between (a) using a gaussian family distribution with a LOG link
function and (b) LOG transforming the response variable with a normal
distribution (Gaussian family distribution with identity link function).
The outputs differ and clearly one option or the other will result in
better fits depending on the dataset (everything else equal) but I want
to understand why is this so.
 
Thanks in advance,
 
Tomás Easdale
Landcare Research, NZ
     
  

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