[R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values

[Stefan Th. Gries]

Darn, I made a typo:

> m.01a.reml <- lmer(OVERLAParcsine ~ USED*poly(SAMPLE, 2) + (USED*SAMPLE|NAME), REML=TRUE)
> m.01b.reml <- lmer(OVERLAParcsine ~ USED*poly(SAMPLE, 2) + (USED+SAMPLE|NAME), REML=TRUE)

m.01a.reml is the more complex one: both have the same fixed-effects
structure, but the a model has the more complex random-effects
structure. (Reading rest now ...)