#' Summarize divergent iterations in a Stan model object
#'
#' This function summarizes the number of divergent iterations observed across all Markov chains in a fit Stan model object.
#' @param fit.stan.model A Stan model object.
#' @examples
#' get_stan_divergences(my.stan.model)
#' @export
# Define a function that allows you to check for divergent iterations across
# all Markov chains from a fit Stan model object
get_stan_divergences <- function(fit.stan.model) {
# Get diagnostic parameters from a fit Stan model
sampler.params <- rstan::get_sampler_params(fit.stan.model, inc_warmup = F)
# Use "n_divergent__" as the default string to match
match.string <- "n_divergent__"
# If the model instead has a "divergent__" column, convert the match
# string to this string
if (sum(colnames(sampler.params[[1]]) %in% "divergent__") > 0)
match.string <- "divergent__"
# Report the column sums of divergent iteration columns for every chain
# used in the fit model
colSums(sapply(sampler.params, function(x) x[ , match.string]))
}
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