[FORGED] Re: nlmer and the binomial distribution.
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 at 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 na?ve 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
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models