Build a synthetic LiPD-timeseries-tibble with an excusrion

makeExcursion(
  time = NA,
  length = 1000,
  amplitude = 1,
  delta.amplitude = 0,
  start.time = 400,
  duration = 200,
  snr = 1,
  sample.spacing.frac = 1,
  noise.ar1 = 0.5,
  ...
)

Arguments

time: time vector over which to make the excursion
length: number of time steps in series
amplitude: amplitude of excursion
delta.amplitude: amplitude of change during excursion
start.time: beginning time step of excursion
duration: duration of excursion
snr: signal to noise ratio
sample.spacing.frac: if < 1, fraction of the data to retain, randomly removing others
noise.ar1: AR1 coefficient for the noise
...: parameters passed to prepareInput

Value

ltt