The term "anova" has evolved to include roughly any table with something like a partition of sums of squares even in non-normal situations, e.g., when using "glm" for logistic regression, where the "deviance" = (-2)*log(likelihood) is partitioned.

Hope this helps.
Spencer Graves

Pedro J. Aphalo wrote:

Douglas Bates wrote:


[EMAIL PROTECTED] (Bj�rn-Helge Mevik) writes:


Mona Riihimaki <[EMAIL PROTECTED]> writes:


I've done lme-analysis with R; [...] I'd need also the mean squares.

AFAIK, lme doesn't calculate sum of squares (or mean squares). It maximises the likelihood (or restricted likelihood) and uses tests based on likelihood ratios.

Yes - you are correct.



although the function is called anova.lme, is it still correct to talk about "anova results" when referring to the results of these tests? and in the case of the Wald tests in the single lme object case?

(sorry if this is a dumb question...)

Pedro.


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