[R-sig-ME] multiple errors when using glmmADMB

[Bansal, Udita]

I am measuring breeding success as number of chicks produced out of number of eggs laid. So, the values range from 0 to 1 including decimal values. Although, that was just a warning. Should I be too concerned about that?

My model statement is as follows: 
m_admb <- glmmadmb( breeding.success ~ laying.date.julian.day.zscale + tmean.zscale + (1|YEAR) , 
                    data = hungary_breeding, zeroInflation = TRUE, family = "nbinom", link = "logit")

Summary for relevant columns of my data: 

YEAR       No.of.chicks          Clutch.size        laying_date             tmean            prec       
 1988:16   Min.   :0.000   Min.   :2.000   Min.   :1988-04-22   Min.   : 3.45   Min.   : 0.000  
 1989:25   1st Qu.:0.000   1st Qu.:3.000   1st Qu.:1990-05-07   1st Qu.:11.35   1st Qu.: 0.000  
 1990:45   Median :0.000   Median :3.000   Median :1991-05-09   Median :15.12   Median : 0.000  
 1991:65   Mean   :1.021   Mean   :2.946   Mean   :1991-05-24   Mean   :14.62   Mean   : 2.285  
 1992:46   3rd Qu.:3.000   3rd Qu.:3.000   3rd Qu.:1992-05-15   3rd Qu.:17.95   3rd Qu.: 1.050  
 1993:24   Max.   :3.000   Max.   :3.000   Max.   :1994-06-16   Max.   :27.05   Max.   :55.200  
 1994:19                                                                                        
 breeding.success clutch.volume   laying.date.julian.day   tmean.zscale.V1      prec.zscale.V1   
 Min.   :0.0000   Min.   :15.82   Min.   : 82.0          Min.   :-2.5607265   Min.   :-0.559014  
 1st Qu.:0.0000   1st Qu.:24.60   1st Qu.:115.0          1st Qu.:-0.7638887   1st Qu.:-0.559014  
 Median :0.0000   Median :25.89   Median :129.0          Median : 0.0947269   Median :-0.559014  
 Mean   :0.3438   Mean   :25.52   Mean   :132.3          Mean   :-0.0190444   Mean   : 0.006583  
 3rd Qu.:1.0000   3rd Qu.:27.06   3rd Qu.:148.2          3rd Qu.: 0.7372670   3rd Qu.: 0.209975  
 Max.   :1.0000   Max.   :29.83   Max.   :186.0          Max.   : 2.8070422   Max.   : 3.762186  
                                                                                                 
 laying.date.julian.day.zscale.V1
 Min.   :-2.2850626              
 1st Qu.:-0.7846733              
 Median :-0.1481445              
 Mean   : 0.0000000              
 3rd Qu.: 0.7270826              
 Max.   : 2.4434370              

I will try glmmTMB as well now.

Thanks
Udita

On 26/07/18, 7:41 PM, "R-sig-mixed-models on behalf of Ben Bolker" <r-sig-mixed-models-bounces using r-project.org on behalf of bbolker using gmail.com> wrote:

    
      The first thing that pops  out is the "non-integer response values in
    discrete family" warning.  How are you measuring breeding success?  Can
    you show us your whole glmmadmb() statement, and maybe a summary() of
    the relevant columns of your data set?
    
       I'll also make the now-blanket statement that you may have better
    luck moving forward with glmmTMB.
    
      cheers
        Ben Bolker
    
    On 2018-07-26 12:57 PM, Bansal, Udita wrote:
    > Hi all,
    > 
    > I was trying to use the glmmADMB package but ran into some errors. I’ve
    > noticed that other people have run into similar errors but there doesn’t
    > seem to be a solution online. It would be great help if anyone could
    > provide any insights on it.
    > 
    > I am using it for running a zero-inflated mixed-effects binomial model.
    > The errors are as follows:
    > 
    > Parameters were estimated, but standard errors were not: the most likely
    > problem is that the curvature at MLE was zero or negative
    > Error in glmmadmb(breeding.success ~ laying.date.julian.day.zscale +
    > tmean.zscale +  :
    >   The function maximizer failed (couldn't find parameter file)
    > Troubleshooting steps include (1) run with 'save.dir' set and inspect
    > output files; (2) change run parameters: see '?admbControl';(3) re-run
    > with debug=TRUE for more information on failure mode
    > In addition: Warning messages:
    > 1: In glmmadmb(breeding.success ~ laying.date.julian.day.zscale +
    > tmean.zscale +  :
    >   non-integer response values in discrete family
    > 2: running command './glmmadmb -maxfn 500 -maxph 5 -noinit -shess' had
    > status 1
    > 
    > Any kind of help will be greatly appreciated.
    > 
    > Bests
    > Udita Bansal
    > 
    > 
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    > 
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