ARIMA

scalation.modeling.forecasting.ARIMA
See theARIMA companion class
object ARIMA

Companion object for class ARIMA. Includes features related to differencing and automated order selection.

Attributes

See also
Companion
class
Graph
Supertypes
class Object
trait Matchable
class Any
Self type
ARIMA.type

Members list

Value members

Concrete methods

def difference(y: VectorD, d: Int): VectorD

Return the 'd'th difference of the time-series for 'd' in {0, 1, 2, 3}. A new vector is returned even when there is no difference taken ('d = 0'), to ensure the original is preserved.

Return the 'd'th difference of the time-series for 'd' in {0, 1, 2, 3}. A new vector is returned even when there is no difference taken ('d = 0'), to ensure the original is preserved.

Value parameters

d

the order of simple differencing

y

the original time-series to be differenced

Attributes

def transformBack(yp: VectorD, y: VectorD, d: Int): VectorD

Transform the fitted values on the training data of a differenced time series back to the original scale. Undo trend differencing only.

Transform the fitted values on the training data of a differenced time series back to the original scale. Undo trend differencing only.

Value parameters

d

the order of simple differencing

y

the original time-series vector

yp

the vector of predicted/fitted values

Attributes

See also

stats.stackexchange.com/questions/32634/difference-time-series-before-arima-or-within-arima

def transformBackF(yf: VectorD, y: VectorD, d: Int, t: Int): VectorD

Transform the forecast values of a differenced time series back to the original scale.

Transform the forecast values of a differenced time series back to the original scale.

Value parameters

d

the order of simple differencing

t

the time point being forecasted (@see the 'forecast' method)

y

the original time series

yf

the vector of forecasted values

Attributes

See also

stats.stackexchange.com/questions/32634/difference-time-series-before-arima-or-within-arima

def transformBack_allH(ypa: MatrixD, y: VectorD, d: Int): MatrixD

Transform the forecasted values of a differenced time series back to the original for all horizons scale.

Transform the forecasted values of a differenced time series back to the original for all horizons scale.

Value parameters

d

the order of simple differencing

y

the original time-series vector

ypa

the matrix of all multi-horizon forecasted values

Attributes

See also

stats.stackexchange.com/questions/32634/difference-time-series-before-arima-or-within-arima