#' get distance between concurrent policies for each treated unit and summarize
#'
#' @param treated_units list containing the sampled treated units for a concurrent
#' simulation run
#' @param units time units for distance calculation, default is "days"
#'
#' @export
get_distance_avgs <- function(treated_units, units="days") {
distances <- c()
for (treated in names(treated_units)) {
t1_date <- paste(min(treated_units[[treated]][["policy_years1"]]),
treated_units[[treated]][["policy_month1"]],
"01", sep="-")
t2_date <- paste(min(treated_units[[treated]][["policy_years2"]]),
treated_units[[treated]][["policy_month2"]],
"01", sep="-")
t1_date <- as.Date(t1_date, "%Y-%m-%d")
t2_date <- as.Date(t2_date, "%Y-%m-%d")
dist <- abs(as.numeric(difftime(t1_date, t2_date, units=units)))
distances <- c(distances, dist)
}
return(distances)
}
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