Re: [Rd] non-differentiable evaluation points in nlminb(), follow-up of PR#15052

Thanks for the pointers to the packages optimx and maxLik. Up to now, I actually did not spend much time in searching for elaborate R packages specifically dealing with optimization problems, but was just satisfied using the optim methods or nlminb. I chose nlminb, because it can take advantage of

Re: [Rd] non-differentiable evaluation points in nlminb(), follow-up of PR#15052

.methods=TRUE)) Ravi From: r-devel-boun...@r-project.org [r-devel-boun...@r-project.org] on behalf of Sebastian Meyer [sebastian.me...@ifspm.uzh.ch] Sent: Wednesday, September 26, 2012 5:13 AM To: r-devel@r-project.org Subject: [Rd] non-differentiable evaluation points in nlminb(), f

Re: [Rd] non-differentiable evaluation points in nlminb(), follow-up of PR#15052

On 9/26/2012 2:13 AM, Sebastian Meyer wrote: This is a follow-up question for PR#15052 There is another thing I would like to discuss wrt how nlminb() should proceed with NAs. The question is: What would be a successful way to deal with

[Rd] non-differentiable evaluation points in nlminb(), follow-up of PR#15052

This is a follow-up question for PR#15052 There is another thing I would like to discuss wrt how nlminb() should proceed with NAs. The question is: What would be a successful way to deal with an evaluation point of the objective function