[R-sig-ME] [FORGED] Re: nlmer and the binomial distribution.

Ben Bolker bbo|ker @end|ng |rom gm@||@com
Mon Feb 11 00:24:47 CET 2019

  I guess overwhelmingly difficult is in the eye of the beholder.  Any
chance of a small example of what you want to do? Although TMB is
written in an extended form of C++ rather than R, it might not be too
horrible. A version of the classic orange tree example is here:
https://kaskr.github.io/adcomp/orange_big_8cpp-example.html (it could
use more comments/there are a few slightly weird-looking things ...)

On Sun, Feb 10, 2019 at 4:08 PM Rolf Turner <r.turner using auckland.ac.nz> wrote:
> Thanks to Ben Bolker and Kenneth Knoblauch for their replies.  I have
> already investigated the "repeated" package --- and got some mileage out
> of it, thanks to the assistance of the maintainer, Bruce Swihart.
> I was not entirely satisfied with the results, since the software in the
> "repeated" package only accommodates a "random intercept", and there is
> evidence from investigating the more standard models that can be fitted
> using glmer() that a random *slope* is needed as well.  Bruce has said
> that he *may* be able to incorporate the "random slope" idea, in a sense
> that I can make precise in the context of the particular non-linear
> model that I have in mind.  However it is slowly dawning on me that
> making this modification is probably an overwhelmingly difficult task.
> I guess that I was naïve in thinking that nlmer might handle it for me.
> cheers,
> Rolf Turner
> --
> Honorary Research Fellow
> Department of Statistics
> University of Auckland
> Phone: +64-9-373-7599 ext. 88276
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