#' Set outlier critical value
#'
#' Set outlier critical value using the Ljung algorithm as given in
#' Ljung, G. M. (1993). On outlier detection in time series.
#' Journal of Royal Statistical Society B 55, 559-567.
#'
#'
#' @param number_observations number of observations tested for outliers
#' @param cv_alpha alpha for critical value
#' @return outlier critical value generated by the algorithm given in Ljung (1993).
#' The critical value in X-13 is different as it is adjusted to allow for smaller values
#' to approximate the normal distribution.
#' @examples
#' this_critical_value <- set_critical_value(12, 0.025)
#' @export
set_critical_value <- function(number_observations, cv_alpha = 0.01) {
# Brian Monsell Version 1.4 3/29/2021
pmod <- 2 - sqrt(1 + cv_alpha)
acv <- sqrt(2 * log(number_observations))
bcv <- acv - (log(log(number_observations)) + log(2 * 2 * pi))/(2 * acv)
xcv <- -log(-0.5 * log(pmod))
setcvl <- (xcv/acv) + bcv
return(setcvl)
}
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