simulateAutoCorrelatedUncertainty: Simulate uncertainty in a dataset

In nickmckay/GeoChronR: Tools to Analyze and Visualize Time-Uncertain Data

Simulate uncertainty in a dataset

Description

Simulate uncertainty in a dataset given an estimate of standard deviation and an ARIMA model

Usage

simulateAutoCorrelatedUncertainty(
  n,
  sd,
  mean = 0,
  ar = sqrt(0.5),
  arima.order = c(1, 0, 0),
  seed = NA
)

Arguments

n	length of output vector
sd	standard deviation of the output vector
mean	mean of the output vector
ar	Autocorrelation coefficient to use for modelling uncertainty, what fraction of the uncertainties are autocorrelated? (default = sqrt(0.5); or 50 percent autocorrelated uncertainty)
arima.order	Order to use for ARIMA model used in modelling uncertainty (default = c(1,0,0))
seed	Optionally enter an integer to set a seed for the random number generation

Value

ts simulated from a from an ARIMA model with a defined mean and variance

See Also

Other utility: askUser(), concatEnsembleTimeseries(), convertAD2BP(), convertBP2AD(), createChronMeasInputDf(), gaussianize(), generateEnsembleFromUncertainty(), getLastVarString(), getOs(), heuristicUnits(), loadRemote(), pullInstance(), stringifyVariables(), surrogateDataFun()

nickmckay/GeoChronR documentation built on July 4, 2025, 12:01 a.m.