Visualize does not accept glmer() weights argument

[Senantq]

Hi Dustin.
Without flexplot I can't do real science.

Since this evening after updating some R packages, including flexplot and lme4, I'm encountering some issues with the visualize function. Here is a simple reprex:

rm(list = ls())
gc()
require(flexplot)
require(tidyverse)
require(lme4)

data(avengers)
avengers <- avengers %>%
    mutate(died_as_count = ifelse(died == "yes", 1, 0),
           died_as_ratio = died_as_count / injuries)

binom_full <- glmer(died_as_ratio ~ 1 + (1 | iq), family = binomial(), weights = injuries, data = avengers)
visualize(binom_full)

which outputs

Error in compare_fits_errors(data, outcome, predictors, testme) :
Sorry, but some variables in formula don't match what's in the model. Specifically, these variables are your in your formula, but not in the model:
weights

I expected the code to run without any problem, considering the weights as included in the model.
My actual version of lme4 is 1.1.35.5. My version of flexplot is the current one on the master branch.

Thanks a lot!