On Mon, Mar 10, 2008 at 4:02 PM, Gustave Lefou <[EMAIL PROTECTED]> wrote:
> It is just a negative log-likelihood with two parameters belonging to [0,1]
> and [0,Inf].
>
> constrOptim is valid for all linear inequality constraints. My constraints
> (box-constrained) are as simple as possible, but ma
Hello Paul,
It is just a negative log-likelihood with two parameters belonging to [0,1]
and [0,Inf].
constrOptim is valid for all linear inequality constraints. My constraints
(box-constrained) are as simple as possible, but maybe the methods used by
constrOptim are useful too. My question is whe
On Sun, Mar 9, 2008 at 9:10 PM, Gustave Lefou <[EMAIL PROTECTED]> wrote:
> I have another question.
>
> I have seen there is a function called "constrOptim" in R.
>
> Is it better than "optim", for example to optimize a function f of two
> parameters belonging to [0,1] and [0,Infinity] ? Do the
Hello everybody,
I have another question.
I have seen there is a function called "constrOptim" in R.
Is it better than "optim", for example to optimize a function f of two
parameters belonging to [0,1] and [0,Infinity] ? Do the methods
supplied like Nelder-Mead are better than those of optim ?
ins University
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> -Original Message-
> From: [EMAIL PROTECTED] [mailto:
[EMAIL PROTECTED] On
Behalf Of Gustave Lefou
Sent: Wednesday, March 05, 2008 1:34 PM
To: r-help@r-project.org
Subject: [R] box-constrained
Hello everybody,
I have a question about box-constrained optimization. I've done some
research and I found that optim could do that. Are there other ways in
Hello everybody,
I have a question about box-constrained optimization. I've done some
research and I found that optim could do that. Are there other ways in R ?
Is the following correct if I have a function f of two parameters belonging
for example to [0,1] and [0,Infinity] ?
optim(par=param, fn=
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