# #' fit_stan_data
# #' A function that takes the input data and feeds it into the Stan sarla model
# #'
# #' @param input_data the stan data to fit
# #' @param ... Other arguments to pass to [plot_and_fill_data()].
# #' @export
# fit_stan_data <- function(input_data, ...) {
# realdat <- list()
# realdat$xaa_observed <- realdat$laa_observed <- input_data
# realdat$Nages <- nrow(realdat$xaa_observed)
# realdat$Nyears <- ncol(realdat$xaa_observed)
# realdat$Ncohorts <- realdat$Nages + realdat$Nyears - 1
# stan_dat <- plot_and_fill_data(realdat, ...)
#
# stan_mod_file <- system.file("inst", "stan", "base.stan", package = "sarla")
#
# mod <- cmdstan_model(stan_mod_file)
# fit <- mod$sample(
# data = stan_dat,
# # seed = 2,
# chains = 4,
# # https://discourse.mc-stan.org/t/scale-parameter-is-0-but-must-be-0-can-i-do-anything-to-deal-with-this/19453/5
# step_size = 0.1,
# iter_sampling = 1500,
# iter_warmup = 1500,
# parallel_chains = 4,
# adapt_delta = 0.98,
# max_treedepth = 15
# )
# }
#
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