[R-sig-ME] glmmadmb_problem: "sd.est not defined for this family"
C. AMAL D. GLELE
@lte@@ed@c2 @ending from gm@il@com
Mon Aug 27 09:58:54 CEST 2018
Hi, dear Dimitri.
Thanks for your suggestion; I will try it and let you know.
All the Best,
Le dim. 26 août 2018 à 19:01, D. Rizopoulos <d.rizopoulos using erasmusmc.nl> a
> If you’re interested, you could also give a try in the GLMMadaptive
> package that can also fit zero-inflated and two-part/hurdle models under
> maximum likelihood using the adaptive Gaussian quadrature rule.
> For more info check:
> - - - - - -
> Dimitris Rizopoulos
> Professor of Biostatistics
> Erasmus University Medical Center
> The Netherlands
> *From: *C. AMAL D. GLELE <altessedac2 using gmail.com>
> *Date: *Saturday, 25 Aug 2018, 9:38 PM
> *To: *R SIG Mixed Models <r-sig-mixed-models using r-project.org>
> *Subject: *[R-sig-ME] glmmadmb_problem: "sd.est not defined for this
> Hi, dear all.
> When fitting models with glmmadmb, I'm encountering the following problems:
> I've fitted "mymodel" using glmmadmb with family="troncnbinom1";
> the model fits, but with the following warning:
> "In eval(substitute(expr), data, enclos = parent.frame()) :
> sd.est not defined for this family"
> summary() shows correctly the outputs, but residuals(mymodel) gives only
> the same problem occurs when family="troncnbinom"
> I've fitted "mymodel2" using glmmadmb, with family"poisson"; it has fitted
> well(without neither error, nor warning)
> but, plot.glmmadmb() sent "couldn't see function plot.glmmadmb";
> in add, VarCorr(mymodel2) is giving me only intercepts variance, although
> I've included random slope in the model.
> Taking a look at the "troubleshooting" session of "glmmadmb_manual" did not
> help me solving these problems.
> In advance, thanks for your helps.
> Kind regards,
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