[R] grid search with failed evaluations (and nonlinear start values as a secondary consideration)

[Thomas Lumley]

On Thu, 16 May 2002, Brian Scholl wrote:
>
> One very simple way to think about this is to try a bunch of different
> start values and pick the one that minimized the regression's RSS.  I
> could make a grid to search on, then simply pick the minimizer.  The
> problem though is that when a bad start value is used (i.e. the error
> above), the program stops entirely, so we don't do more than a few
> trials in the grid search.  My main question is how can I get around
> this to complete the search?
>

You can use try() around the trials in the grid search to catch the
errors.

	-thomas


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