[R-sig-ME] Variance explained by random factor
Renwick, A. R.
a.renwick at abdn.ac.uk
Wed Aug 13 17:17:48 CEST 2008
I am currently trying to run a lmer model with poisson distrubution. I tested the model with a model without the random effect and it inferred that I should include the random effect:
#test to see if sig difference between glm and glmm
#2.327441e-23 so should use a GLMM
However,the model output that I get states that the variance explained by the random factor is 0:
Generalized linear mixed model fit by the Laplace approximation
Formula: RoundedOverlap ~ sess + breedfem + sess:breedfem + (1 | Site)
AIC BIC logLik deviance
109.9 127.2 -45.93 91.86
Groups Name Variance Std.Dev.
Site (Intercept) 0 0
Number of obs: 51, groups: Site, 14
I would really appreciate if somebody could help me understand why the variance is 0.
School of Biological Sciences
University of Aberdeen
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