De: Chris Gast [mailto:cmg...@gmail.com]
Enviado el: jueves, 17 de junio de 2010 22:32
Para: Rubén Roa
CC: r-help@r-project.org; us...@admb-project.org
Asunto: Re: [ADMB Users] an alternative to R for nonlinear stat models
I spoke with my colleague who did most of the testing, and he has informed
me that much of the hessian sensitivity actually came from a separate
program (based on Numerical Recipes in C++ code) that did not use optim(),
after having stopped using optim() due to speed issues.
In my experience with
As an additional note, the parscale argument can be useful to improve
stability in convergence results in optim().
Chris
-
Chris Gast
cmg...@gmail.com
On Thu, Jun 17, 2010 at 1:32 PM, Chris Gast wrote:
> I spoke with my colleague who did most of the testing, and
De: users-boun...@admb-project.org [mailto:users-boun...@admb-project.org] En
nombre de Chris Gast
Enviado el: miércoles, 16 de junio de 2010 21:11
Para: Arni Magnusson
CC: r-help@r-project.org; us...@admb-project.org
Asunto: Re: [ADMB Users] an alternative to R f
Hi Arni (and others),
My dissertation work involves use (and extension) of models of the same ilk
(sometimes exactly the same) as those described by Nancy Gove and John
Skalski in their 2002 article. I began with R, and moved to my own
home-brewed C/C++ programs for the sake of of speed when fitt
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