Dear colleagues,
I am working with information-theoretic based on the second-order AKaike?s
Information criterion corrected for small samples sizes AICc. I have run
the mixed-effect models with ?glmer? function in the lme4 package. Then, I
used the dredge function from the MuMIn package to test models defined by
all possible variables combinations and rank them by AICc-based model
weight.
Usually, the main results from dredge function are AICc, delta and weight.
However, for one model seems to have some ?bug? I just could get AICc.
Delta and weight were missing:
mfullepi1<-glmer(sepi~lhet+ldth+transect+lhet:transect+(1|park/transect),family="poisson")
Global model: glmer(formula = sepi ~ lhet + ldth + transect + lhet:transect
+
(1 | park/transect), family = "poisson")
---
Model selection table
(Int) ldt lht trn lht:trn k Dev. AICc
5 1.1630 + 14 97.79 129.8
7 1.0000 0.5228 + 15 95. 62 130.2
6 0.9803 0.002208 + 15 96.32 130.9
8 0.8236 0.002160 0.5188 + 16 94.17 131.5
3 1.4120 0.5538 4 124.30 132.7
4 1.2810 0.002287 0.5153 5 122.40 132.9
2 1.3920 0.002544 4 125.00 133.3
1 1.5480 3 127.20 133.4
15 1.4660 -1.0140 + + 26
16 1.2560 0.002198 -0.9244 + + 27
Random terms: 1 | park/transect
Mensagens de aviso perdidas:
1: In mer_finalize(ans) : gr cannot be computed at initial par (65)
2: In mer_finalize(ans) : gr cannot be computed at initial par (65)
Please, someone could explain me what is going on?
Thanks a lot!
All the best,
Fernando
--
Fernando Augusto Schmidt
Lab. de Ecologia de Comunidades
PPG - Entomologia. Universidade Federal de Vi?osa
Vi?osa, MG - Brazil 36570-000
www.labecol.ufv.br
+55 3182388810
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