Hi Paul
Oh ok sorry, I send you below a copy of the R code I was using. It's very
possible that my programming is slow as well. I'm very happy to learn.
Sorry the code is a bit long, but its structured like this and cotains three
main functions and the optimization:
1. Input - (I didn't send the data)
2. Function to calculate the cell probabilities for the multinomial
likelihood
3. Function to calculate the multinomial
4.Function to be optimized
5. then I set the starting values
6. optimization using mle2
hope that helps
cheers
Beni
-----Paul Hiemstra <p.hiems...@geo.uu.nl> schrieb: -----
An: benedikt.g...@ieu.uzh.ch
Von: Paul Hiemstra <p.hiems...@geo.uu.nl>
Datum: 16.06.2010 09:36
Kopie: r-help@r-project.org, da...@otter-rsch.com
Betreff: Re: [R] an alternative to R for nonlinear stat models
On 06/16/2010 07:35 AM, benedikt.g...@ieu.uzh.ch wrote:
> Hi
> I implemented the age-structure model in Gove et al (2002) in R,
which is a
> nonlinear statistical model. However running the model in R was very
slow.
> So Dave Fournier suggested to use the AD Model Builder Software
package and
> helped me implement the model there.
> ADMB was incredibly fast in running the model:
> While running the model in R took 5-10 minutes, depending on the
settings,
> in ADMB it took 1-2 seconds!
> I'm reporting this so that people who have performance issues with
nonlinear
> statistical models in R will know that there is a good free
alternative for
> more difficult problems.
> There is also a help platfrom equivalent to the one for R, and
people
> running it are extremley helpful.
> I hope this might help someone
> cheers
> Beni
> ______________________________________________
> R-help@r-project.org mailing list
> [1]https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
[2]http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
Hi Beni,
Thanks for posting information that might be useful for people on the
list. The only thing is that without a little more detail on how exactly
you implemented things in R, we are left to guess if the performance
issues are a problem of R, or that your particular implementation was
the problem. There are was of implementing R code in two ways, where the
first takes minutes and the second 1-2 seconds. Furthermore, you are
giving us no option to defend R ;).
cheers,
Paul
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +3130 274 3113 Mon-Tue
Phone: +3130 253 5773 Wed-Fri
[3]http://intamap.geo.uu.nl/~paul
[4]http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770
References
1. https://stat.ethz.ch/mailman/listinfo/r-help
2. http://www.r-project.org/posting-guide.html
3. http://intamap.geo.uu.nl/~paul
4. http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
