[ADMB Users] help with glmmADMB 0.6.4 - function maximizer failed

Rafael Mares crm53 at cam.ac.uk
Fri Sep 23 07:39:27 PDT 2011

Thank you very much for your replies.

Ben, is a lognormal Poisson in lme4 the "same" as adding an
observation level random effect to a Poisson model? If that's the
case, I can run my model this way, with both random effects and all
the data, no problem. The estimates seem reasonable to me.

The output from the glmmadmb model unfortunately doesn't mean much to
me. But this is what it says right before the error:

 - final statistics:
9 variables; iteration 16; function evaluation 21
Function value   8.0326e+03; maximum gradient component mag  -2.7007e-05
Exit code = 1;  converg criter   1.0000e-04
Var   Value    Gradient   |Var   Value    Gradient   |Var   Value    Gradient
 1-26.04528  3.46314e-06 |  2-11.11848 -4.63363e-06 |  3  6.15104  1.90787e-06
 4-18.30688  2.76734e-06 |  5-26.83680  4.50334e-06 |  6  5.36753 -1.32630e-05
 7  5.04109 -2.67531e-06 |  8  6.48699  6.56383e-06 |  9 -0.09684 -2.70066e-05
Hessian type 4
 inner maxg = 0.0009837  Inner second time = 0.0009837  Inner f = 7024
 f = 7024.448328266865 max g = 0.0009836751948745226
Newton raphson 1  Error in glmmadmb

The data seem ok to me, but I will try partitioning the data as you
suggest to see if there are any particular data points causing
problems. Thank you for your advice.

All the best,


Rafael Mares
Large Animal Research Group (LARG)
Department of Zoology
University of Cambridge
Downing Street

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