How to formula futile effects in glmer.nb in R

I am new on this site though we always searched for info here. we wish to
do a glmer.nb though got an error: Error in eval(expr, envir, enclos) :
..2 used in an crude context, no ... to feeling inMy digest is: we wish to
establish what does womanlike mountainous goats compared with her
juveniles and what does not. we have a response non-static as count
information of daily compared observations (Every day between May and Sep
from 1991-2012, we remarkable if any womanlike was compared or not). So,
we got steady measures as any womanlike can live over 15 years. The
explicative variables are: age (ex. 7,8,9), amicable rank(continous),
reproductive station (factor) and cocktail firmness (ex.43,46,62). we have
to use womanlike ID and Year as futile variables (I need a churned model).
With this bland count data, we have lot of '0' value (not associated). we
had start to do a burst denote (ZANB) given my '0' value are genuine '0'
though we am not certain if this could be a genuine exam or not compared
to a glmer.nb. we review a lot though now, we am only confused with all
that possibilities. we need to know: 1) what does a womanlike associate
(binomial, compared or not) 2) what is a 'abundance' when
womanlike associateglmer.nb is it a good choice to do it? Or should we do
burst denote with futile effects?Thank we unequivocally many for help! we
would conclude it! (Sorry for my 'french' english! we try!) :)First, we
code:nb.glmer <- glmer.nb(Asso.Y1 ~ Reproductive_status * Age +
Reproductive_status * Rank_Residuals + Reproductive_status * I(Age^2) +
(1|ID) + (1|Year), weights = TotalY1, data=d1_2)But gives me: Error in
eval(expr, envir, enclos) : ..2 used in an crude context, no ... to
feeling in