Please refrain from cross-posting. The same request was sent to the author
of hurdle(), R-help, and StackOverflow (where it was already answered).
Also, do provide self-contained and reproducible code as would be
appropriate in any of the three cases.
On Mon, 17 Aug 2015, Matt Dicken wrote:
I was hoping someone may be able to help with the following.
I fit the model below using the pscl package. I am modelling catch data (about
17,000 entry points) so lots of zero's
fit.hurdle.bin = hurdle(Catch ~ Beach + Region + Year+
Decade + Month + Season + Whale+ Sex + Size+ meantemp +
meanviz + offset(log(Length.nets..km.)),
dist="poisson",zero.dist="binomial",link="logit",trace=T)
The model output tells me that:
Warning message: In sqrt(diag(object$vcov)) : NaNs produced (against year)
I then use hurdle control with "L-BFGS-B" to set some parameter controls to
solve this issue, but get the warning message:
L-BFGS-B needs finite values of 'fn'
In addition: Warning message:
In optim(fn = countDist, gr = countGrad, par = c(start$count, if (dist == :
method L-BFGS-B uses 'factr' (and 'pgtol') instead of 'reltol' and 'abstol'
How do I write the script for Hurdle control to solve these issues?
Any help would be really appreciated
All the best
Matt
Dr. Matt Dicken
Senior Scientist
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