Ben Bolker
This is an interesting question. To be honest I haven't seen anyone discuss/derive this explicitly for GLMMs; as with so much of the rest of the GLMM literature, it's "this...
One standard check for bernoulli models is to do a binned binomial proportions plot (this is, loosely, a graphical equivalent of the Hosmer-Lemeshow test, and is implemented in `arm::binnedplot()`
ooops, I missed your comment about `binned_residuals()`. D'oh!
This isn't the place, but I may have some Opinions about `binned_model` (I would like a smoothed line added, binomial CIs on the points; I would rather have binomial CIs...
Not yet but could do one tomorrow.
https://gist.github.com/bbolker/945e684dc148239364ab0f99c9a1beed I realized that the residuals from binomials are not binomial (so constructing binomial CIs isn't useful); however I think that a binned plot using `mean_cl_boot()` to generate CIs is...
Sorry, this slipped through the cracks. I am fine with this, and I'm 99% sure that Martin Maechler and Doug Bates are as well (they're both staunch free-software people, and...
One not-ridiculous use case is: generate a list of model fits, simulating the data within the model-fitting function each time. Then map over the list of model fits to compute...
I'm having similar problems to this, with Julia 1.1.1/r-devel: see [here](https://github.com/Non-Contradiction/JuliaCall/issues/110#issuecomment-519160927)
ugh. managed to build RCall: ``` $ export LD_LIBRARY_PATH="$(R RHOME)/lib" $ export R_HOME="/usr/local/lib/R" $ julia -e "using Pkg; Pkg.build(\"RCall\")" ``` seems to work. But then when I run julia and...