Operating System Ubuntu 16.04, Version 2.3.0 cran (I also tried the latest from github), R 3.4.2:

Hi, thank you for this great package.

I’m still learning the bayesian ropes, especially with brms, so I’m probably just misunderstanding something basic.

I’d like to make a diagnostic plot (pp_check) as a figure in a paper, but it gives the following error:

library(brms)

data(“iris”)

mod <- brm(

Species ~ Sepal.Length,

data = iris,

family = categorical,

chains = 2, iter = 300

)

pp_check(mod)

Error in Summary.factor(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, :

‘max’ not meaningful for factors

Are these posterior barplots possible with categorical models? Somehow I thought it would be hooking into http://mc-stan.org/bayesplot/reference/PPC-discrete.html .

Am I supposed to be giving pp_check extra switches when the distribution is categorical?

Thanks again!