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 maybe the methods used by > constrOptim are useful too. My question is whether constrOptim is useful for > boundary problems, or if optim is sufficient for box-constrained > optimization.
Gustave, It would be useful if you gave us a concrete function (with its functional form defined) as an example. Paul > 2008/3/10, Paul Smith <[EMAIL PROTECTED]>: > > > > > > > > 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 methods > > > supplied like Nelder-Mead are better than those of optim ? > > > > Could you please give us a concrete example of what you are trying to > optimize? > > > > Paul > > > > > > ______________________________________________ > > 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. > > > > ______________________________________________ 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.
