#' List NA
#'
#' function to return tibble with NAs as specified
#' @param x named vector
#'
#' @importFrom tibble enframe
#' @importFrom tidyr pivot_wider
#' @return empty tibble
#' @keywords internal
list_NA <- function(x) {
names <- x
results <- tibble::enframe(names) %>%
mutate(value = as.numeric(.data$value)) %>%
tidyr::pivot_wider()
return(results)
}
#' Open Window
#'
#' calculates the period at each row from the row of interest
#' @param x dataframe
#' @param tcolumn time column
#' @param unit unit
#' @param n desired n
#' @param i row number
#'
#' @importFrom lubridate interval
#' @importFrom lubridate as.period
#' @importFrom lubridate period
#' @return vector
#' @export
#' @keywords internal
#'
open_window <- function(x,
tcolumn,
unit = "years",
n,
i) {
#p <- lubridate::as.period(difftime(tcolumn[i], tcolumn), unit = unit)
p <- lubridate::interval(tcolumn[i], tcolumn)
p <- lubridate::as.period(p)
window <- x[p <= lubridate::period(0, unit) & p >= -lubridate::period(n, unit)]
return(window)
}
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