Am I right if I say that comparisons among gls models with differing fixed
effects, but same correlation stuctures, fitted by REML is not meaningful? I
need to use ML fit to get comparable AIC, BIC values? And the same is
applied to likelihood ratio statistics?
I don't really know what's the differece between the two fitting methods. Does anybody have a good documentation for understanding them? Would much esaier to understand restrictions of REMLfit if I see the mathematical background of it.
[[alternative HTML version deleted]]
Archive maintained by Robert King, hosted by
the discipline of
statistics at the
University of Newcastle,
Archive generated by hypermail 2.2.0, at Fri 01 Apr 2011 - 13:10:26 GMT.
Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.
list of date sections of archive