[R-sig-ME] Unable to standardize glmmADMB global model

[Aoibheann Gaughran]

Hello Mixed-Modellers,

I have getting the following error message when trying to standardize my
global glmmadmb model for dredging:

Error in (function (classes, fdef, mtable)  : unable to find an inherited
method for function ‘standardize’ for signature ‘"glmmadmb"’

Is it not possible to standardise a glmmadmb model or is the problem with
the structure of the model itself?

globalmod    <- glmmadmb(field_count ~ habitat
#categorical - 7 levels
                     + season_wt
                                         #categorial - 3 levels
                     + sex
                                              #categorial - 2 levels
                     + ageclass
                                           #categorial - 3 levels
                     + slope
                                             #continuous, not scaled nor
centred
                     + NSEW
                                          #catagorical - 4 levels
                     + month_fix
                                          #continuous, not scaled nor
centred,
                     + num_fields
                  #continuous, not scaled nor centred
                     + habitat:ageclass
                     + habitat:sex
                     + offset(log(origarea))
                     + offset(log(PropAvlHab))
                     +(1|individual_id)
                                           #repeated obs from same
individual
                     +(1|field_id)
                                              #repeated obs in same field,
                     family="nbinom",
                     zeroInflation=TRUE,
                     admb.opts=admbControl(shess=FALSE,noinit=FALSE),
                     debug=TRUE,
                     data = dframe1)

no of observations =9220

Many thanks,

-- 
Aoibheann Gaughran

Behavioural and Evolutionary Ecology Research Group
Zoology Building
School of Natural Sciences
Trinity College Dublin
Dublin 2
Ireland
Phone: +353 (86) 3812615

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