On 26Nov 2018, at 13:33, Joana Martelo <joanamartelo at gmail.com> wrote:
Thanks for your email!
Warnings' problem is solved, however, when I use log(density) or
log(density+1) I got NaNs because density has negative numbers.
Density is 2,4,6 which standardized gives -1.793073717, -0.450015136,
0.893043446. So, log(-1.793073717+1)= NaN
Any suggestions?
Many thanks!
Joana
-----Mensagem original-----
De: R-sig-mixed-models
[mailto:r-sig-mixed-models-bounces at r-project.org] Em nome de Ben
Bolker
Enviada: sexta-feira, 23 de Novembro de 2018 21:54
Para: r-sig-mixed-models at r-project.org
Assunto: Re: [R-sig-ME] warnings when using binomial models and offset
This is a pretty common error, which I've now added to the GLMM FAQ.
You should be using log(density), not density, as your offset term; if you use density, then you end up specifying that your capture counts are proportional to exp(density), which is often a ridiculously huge number.
cheers
Ben Bolker
On 2018-11-23 12:26 p.m., Joana Martelo wrote:
Hello everyone
I'm trying to model fish capture success using length, velocity and
group composition as explanatory variables, density as an offset
variable, and fish.id. as random effect. I'm getting the follow warnings:
Model1<-glmer(capture~length+offset(density)+(1|fish.id),family=binom
i
al,dat
a=cap)
Warning messages:
1: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model failed to converge with max|grad| = 0.260123 (tol = 0.001,
component
1)
2: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model is nearly unidentifiable: very large eigenvalue
- Rescale variables?
- I only get the warnings when I use length and group composition,
not with velocity.
- I don't get any warning if I don't use the offset.
I've tried:
Model1<-glmer(capture~length+offset(log(density))+(1|fish.id.c),famil
y
=binom
ial(link="cloglog"),data=cap)
But still get the warning.
Any ideas of what might be the problem?
Many thanks!
Joana Martelo
Melhores cumprimentos,
Joana Martins
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