TimeSeriesFunctions Methods

Methods

AugmentedDickeyFullerTest Returns a new Augmented Dickey-Fuller test object for the presence of a unit root.
AutocorrelationFunction Gets a vector containing the auto-correlation function (ACF) of a series up to the specified order.
AutoCovarianceFunction Gets a vector containing the auto-correlation function (ACF) of a series up to the specified order.
Difference(Vector<Double>) Computes a differenced time series.
Difference(Vector<Double>, Int32) Computes a differenced time series.
DurbinWatsonStatistic Returns the Durbin-Watson statistic for the specified residuals.
GetAutocorrelationFunctionInfo Returns a data frame containing information about the auto-correlation function of a series, optionally including confidence intervals and Ljung-Box Q statistics and p-values.
KpssTest(Vector<Double>) Returns a new KPSS test object for level stationarity.
KpssTest(Vector<Double>, KpssTestType, KpssLagSelection) Returns a new KPSS test object using the specified stationarity type and lag-selection rule.
KpssTest(Vector<Double>, KpssTestType, Int32) Returns a new KPSS test object using an explicit fixed lag count.
PartialAutocorrelationFunction Computes the Partial Auto-Correlation Function (PACF) from an Auto-Correlation Function (ACF).

See Also