R Consortium call for funding

I totally agree with you, Ben. I have to admit that all the tidyverse world
has suppose a great improvement in the way I work with data, but in the
end, almost all my analyses conclude with the nlme/lme4 packages. So I
think it is worth investing funds and time on it.

As suggested by others, the inclusion of the variance functions from nlme
would be very useful. Also, some of the capabilities of the mixed.models in
Julia language in terms of computation time and data size would be very
welcome, but this latter it is probably very difficult (almost impossible)
given that they are to different platforms.

In any case, thanks for the initiative and I hope it will go ahead.

Regards,
Manuel

https://www.r-consortium.org/announcement/2018/09/25/fall-2018-isc-call-for-proposals

"What can you do to improve the R ecosystem and how can the R Consortium
help you do it?"

 The mixed-model ecosystem is admittedly a small part of the R
ecosystem, but I (biasedly) think it's an important one.

  If people have ideas & opinions about how a chunk of money on the
order of $10,000 could be valuably spent to improve the mixed-model
ecosystem in a way that would be appealing to a very broad audience of
useRs, please discuss.

The deadline for submitting a proposal is midnight PST, Sunday October
31, 2018.


  cheers
   Ben Bolker

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