[R-sig-ME] modeling nested random effects with glmm using nlme
@h@r@d@@r@m@d@@@ @ending from gm@il@com
Fri May 25 13:41:56 CEST 2018
I am new to glmm and am using nlme to model a mixed effects model for my
I have 13 species and 15 individuals per species. I am looking at including
both species and individuals as random effect factors. While I have
multiple measurements at the species level (multiple individuals measured
for the same data), I only have 1 measurement at the individual level
within any species.
This FAQ (https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html)
1|species/individual = intercept varying among species and among
individuals within species.
In that case, since I have 15 individuals per species, does it make sense
to include the individual as a nested factor within species in the random
effects? Somewhere else I read that if you do not have repeat measures, it
does not make sense to include that factor as a random effect.
Any inputs would be appreciated.
Thanks and Regards,
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