Closed mattansb closed 6 years ago
It's not a bug, but documented behaviour: help(ranova)
says "A random-effect term of the form (f1 | gr) is reduced to (1 | gr)" and this is exactly what you see. Though ranova
in general may not generate all tests of interest (see the examples in help(ranova)
) I think in this case it produces the relevant tests; it does not make sense to remove the intercept while keeping the random slope for Subject
. Also note that the test for slope is on 2 df since the covariance parameter between the random intercepts and slopes is removed along with the random slopes.
Models such as
lmer(Reaction ~ Days + (0 + Days|Subject), sleepstudy)
lmer(Reaction ~ Days + (1|Subject) + (0 + Days|Subject), sleepstudy)
do not make sense in general so ranova
will not fit and compare them.
While using
ranova
I've found that it behaves in a manner I was not expecting, and I'm not sure if this is a bug or if I've misunderstood something.If I run this:
I expect to get a test where both the random effect of
days
and the random(Intercept)
are tested, but instead only the random effect fromDays
is tested. Is this the correct behavior ofranova
? Is there another way get both together in one output?