I should have given a more detailed explanation about Automatic Differentiation.
As Martin points out, there are some AD elements in deriv etc., but to my view
they are related more to symbolic differentiation, and not in the same space
as AD Model Builder or its successor whose name eludes me at
> J C Nash
> on Tue, 18 Apr 2017 13:32:52 -0400 writes:
> Recently Marie Boehnstedt reported a bug in the nlm()
> function for function minimization when both gradient and
> hessian are provided.
Indeed, on R's Bugzilla here :
https://bugs.r-project.org/bugzilla/sh
Recently Marie Boehnstedt reported a bug in the nlm() function for function
minimization
when both gradient and hessian are provided. She has provided a work-around for
some
cases and it seems this will get incorporated into the R function eventually.
However, despite the great number of packag
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