Displaying 3 results from an estimated 3 matches for "crru".
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2012 Sep 12
7
multinomial MCMCglmm
...hat.
The main problem I face: my data set consits of a trapping data set,
where the observation at eah trap (1 or 0 for each species) have been
aggregated per traplines. Therefore we have a proportion of
presence/absence for each species per trapline.
ex:
ID_line mesh habitat Apsy Mygl Crle Crru Miag Miar Mimi Mumu Misu
Soar Somi
11 028S6A 28 copse 2 0 0 0 0 0 0 0 0
0 0
12 028S6B 28 copse 1 1 0 0 0 0 0 0 0
0 0
13 028S6C 28 hedge 2 0 0 4 0 0 0 0 0
0 0
14 028S6D 28 hedge...
2012 Sep 12
0
R-help Digest, Vol 115, Issue 12
...ace: my data set consits of a trapping data set,
> where the observation at eah trap (1 or 0 for each species) have been
> aggregated per traplines. Therefore we have a proportion of
> presence/absence for each species per trapline.
>
> ex:
> ID_line mesh habitat Apsy Mygl Crle Crru Miag Miar Mimi Mumu Misu
> Soar Somi
> 11 028S6A 28 copse 2 0 0 0 0 0 0 0 0
> 0 0
> 12 028S6B 28 copse 1 1 0 0 0 0 0 0 0
> 0 0
> 13 028S6C 28 hedge 2 0 0 4 0 0 0 0 0
> 0 0
&...
2012 Nov 06
1
Multinomial MCMCglmm
Thanks for your answers Stephen and Ben,
I hope I am posting on the correct list now.
I managed so far to run the multinomial model with random effect with the
following command:
MCMCglmm(fixed=cbind(Apsy,Mygl,Crle,Crru,Miag,empty) ~
habitat:trait,random=~idh(trait):mesh,family="multinomial12",
data=dataA,rcov=~trait:units)
(where multiple responses are different species,
Habitat the explanatory
variable and Mesh the random effect)
The main question I am facing now is:
Why the multinomial model fit do...