Well, I guess this doesn't make necessary for me to prepare a report with the 
CatDyn package.
However, I am available to test a new optimx R-forge version with my package.

Cheers

Rubén

--
Dr. Ruben H. Roa-Ureta
Senior Researcher, AZTI Tecnalia,
Marine Research Division,
Txatxarramendi Ugartea z/g, 48395, Sukarrieta,
Bizkaia, Spain

-----Mensaje original-----
De: John C Nash [mailto:nas...@uottawa.ca] 
Enviado el: domingo, 04 de septiembre de 2011 18:55
Para: Ravi Varadhan
CC: Rubén Roa; 'kathryn.lord2...@gmail.com'; 'r-help@r-project.org'
Asunto: Re: Gradients in optimx

I've started to work on this again, and can confirm there seems to be some sort 
of bug in the gradient test at the beginning of the current R-forge version of 
optimx. It is not something obvious, and looks like a mixup in arguments to 
functions, which have been an issue since I've been trying to trap NaN and Inf 
returns.

Worse, making the control starttests = FALSE fails because there I 
inadvertently put the initial function calculation inside the block that does 
the tests. Sigh.

Will try to get something done by end of this week. (This will be R-forge 
version.)

JN

On 08/31/2011 09:31 AM, Ravi Varadhan wrote:
> Hi Reuben,
> 
>  
> 
> I am puzzled to note that the gradient check in "optimx" does not work 
> for you.  Can you send me a reproducible example so that I can figure this 
> out?
> 
>  
> 
> John - I think the best solution for now is to issue a "warning" 
> rather than an error message, when the numerical gradient is not 
> sufficiently close to the user-specified gradient.
> 
>  
> 
> Best,
> 
> Ravi.
> 
>  
> 
> -------------------------------------------------------
> 
> Ravi Varadhan, Ph.D.
> 
> Assistant Professor,
> 
> Division of Geriatric Medicine and Gerontology School of Medicine 
> Johns Hopkins University
> 
>  
> 
> Ph. (410) 502-2619
> 
> email: rvarad...@jhmi.edu <mailto:rvarad...@jhmi.edu>
> 
>  
> 

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