Detect excursion - core functionality

detectExcursionCore(
  time,
  vals,
  event.yr,
  event.window,
  ref.window,
  sig.num = 2,
  n.consecutive = 2,
  exc.type = "either",
  min.vals = 8,
  adjust.n.for.autocorrelation = FALSE,
  min.ref.window.coverage.fraction = 0.5,
  na.rm = TRUE
)

Arguments

time: time vector of only the points in the window
vals: value vector of only the points in the window
event.yr: time at the center of the excursion window
event.window: width (in time units) of the excursion window
ref.window: width (in time units) of the reference windows
sig.num: how many standard deviations required outside the reference windows must be exceeded for this to be considered an excursion? (default = 2)
n.consecutive: how many consecutive points are required for this to be considered an excursion? (default = 2)
exc.type: Type of excursion to look for. "positive", "negative", "either" or "both" (default = "either")
min.vals: Minimum effective sample size (adjusted by autocorrelation) required in reference and event windows (default = 4)
adjust.n.for.autocorrelation: Adjust the min.vals check to account for autocorrelation?
min.ref.window.coverage.fraction: reference windows must cover at least this fraction of the time.
na.rm: Remove NAs? (default = TRUE)

Value

a tibble of results