Re: [R] Non-linear minimization

2005-03-08 Thread Uwe Ligges
Sébastien Ballesteros wrote:
hello, I have got some trouble with R functions nlm(),
nls() or optim() : I would like to fit 3 parameters
which must stay in a precise interval. For exemple
with nlm() :
fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2)
out-nlm(fn, p=c(4, 17, 5),
hessian=TRUE,print.level=2)
with estdata() a function which returns value to fit
with dN (observed data vactor)
My problem is that only optim() allows me to set
parameters interval with L-BFGS-B method but this
one doesn't work in my case.
I have heard about nls2 package (www.inra.fr/bia) but
it doesn't work on Windows.

it doesn't work on Windows is a very gentle description in this 
particular case...


Do you know any solutions
A typical trick is to redefine the function so that for points outside 
the boundaries increasing penalties are added (if you know enough about 
your function).

Uwe Ligges

Thank's a lot for reading my post
Best regards
Sebastien
INA P-G ecology dpt
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RE: [R] Non-linear minimization

2005-03-08 Thread Wiener, Matthew
I have had my best luck by re-parametrizing so that I no longer needed
restrictions.  For example, if parameters must be positive, then I optimize
over parameters in log space, taking the exponential within my function.
This requires small changes to the function I'm optimizing (and the
gradient, if supplied), but, for me at least, has worked better than trying
to enforce box constraints as in L-BFGS-B.

Hope this helps,

Matt Wiener

-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Sébastien Ballesteros
Sent: Tuesday, March 08, 2005 8:24 AM
To: r-help@stat.math.ethz.ch
Subject: [R] Non-linear minimization


hello, I have got some trouble with R functions nlm(),
nls() or optim() : I would like to fit 3 parameters
which must stay in a precise interval. For exemple
with nlm() :

fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2)
out-nlm(fn, p=c(4, 17, 5),
hessian=TRUE,print.level=2)

with estdata() a function which returns value to fit
with dN (observed data vactor)

My problem is that only optim() allows me to set
parameters interval with L-BFGS-B method but this
one doesn't work in my case.

I have heard about nls2 package (www.inra.fr/bia) but
it doesn't work on Windows.

Do you know any solutions

Thank's a lot for reading my post

Best regards

Sebastien
INA P-G ecology dpt

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
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http://www.R-project.org/posting-guide.html

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Re: [R] Non-linear minimization

2005-03-08 Thread Dimitris Rizopoulos
maybe you could re-parameterize the problem, e.g.,
p \in (a, b)
p^* = (p - a) / (b - a) \in (0, 1)
x = qlogis(p^*) \in \Re
I hope it helps.
Best,
Dimitris

Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.ac.be/biostat/
http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm

- Original Message - 
From: Sébastien Ballesteros [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Sent: Tuesday, March 08, 2005 2:23 PM
Subject: [R] Non-linear minimization


hello, I have got some trouble with R functions nlm(),
nls() or optim() : I would like to fit 3 parameters
which must stay in a precise interval. For exemple
with nlm() :
fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2)
out-nlm(fn, p=c(4, 17, 5),
hessian=TRUE,print.level=2)
with estdata() a function which returns value to fit
with dN (observed data vactor)
My problem is that only optim() allows me to set
parameters interval with L-BFGS-B method but this
one doesn't work in my case.
I have heard about nls2 package (www.inra.fr/bia) but
it doesn't work on Windows.
Do you know any solutions
Thank's a lot for reading my post
Best regards
Sebastien
INA P-G ecology dpt
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! 
http://www.R-project.org/posting-guide.html

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Re: [R] Non-linear minimization

2005-03-08 Thread christopher . m . turner

After some experimentation, I have had very good luck with the rgenoud
package. It handles box constraints well and for small problems its slow
speed has not been much of a problem. It has worked for me on Windows,
Macintosh, and Linux.

Chris
JPMorgan Asset Management



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  |   Subject:  [R] Non-linear minimization 
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hello, I have got some trouble with R functions nlm(),
nls() or optim() : I would like to fit 3 parameters
which must stay in a precise interval. For exemple
with nlm() :

fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2)
out-nlm(fn, p=c(4, 17, 5),
hessian=TRUE,print.level=2)

with estdata() a function which returns value to fit
with dN (observed data vactor)

My problem is that only optim() allows me to set
parameters interval with L-BFGS-B method but this
one doesn't work in my case.

I have heard about nls2 package (www.inra.fr/bia) but
it doesn't work on Windows.

Do you know any solutions

Thank's a lot for reading my post

Best regards

Sebastien
INA P-G ecology dpt

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html




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