cc-ed back to the list
Some observations seem to have no sampling variation and so have a
residual variance of zero - which is not allowed, and doesn't make much
sense.
Cheers,
Jarrod
On 16/07/2017 00:16, Diogo B. Provete wrote:
Hi Jarrod,
I have tried all the suggestions for
Hi Diogo,
First, your model1 is unlikely to be valid unless the residual variance
happens to be 1. You should not fix it at one, and use a prior like:
prior = list(R = list(V = 1, nu = 0.02), G=list(G1=list(V=1, nu=0.02)))
Note that the residual variance (Ve) is the intra-specific variance,
Dear list,
I'm trying to fit a mixed-effects model to a problem that includes:
a continuous response variable (mean jumped distance by 17 species of
frogs) in 3 different arenas and under 2 types of stimuli. So, it's a kind
of two-way ANOVA design. I have the species phylogeny and prepared its