AR

scalation.modeling.forecasting.AR
See theAR companion class
object AR

The AR companion object provides factory methods for the AR class.

Attributes

Companion
class
Graph
Supertypes
class Object
trait Matchable
class Any
Self type
AR.type

Members list

Value members

Concrete methods

def apply(y: VectorD, hh: Int, tRng: Range = ..., hparam: HyperParameter = ..., bakcast: Boolean = ..., adjusted: Boolean = ...): AR

Create a AR object.

Create a AR object.

Value parameters

adjusted

whether in Correlogram when calculating auto-covarainces/auto-correlations to adjust to account for the number of elements in the sum Σ (or use dim-1)

bakcast

whether a backcasted value is prepended to the time series (defaults to false)

hh

the maximum forecasting horizon (h = 1 to hh)

hparam

the hyper-parameters

tRng

the time range, if relevant (time index may suffice)

y

the response vector (time series data)

Attributes

See also

VectorD.acov

def rescale(y: VectorD, hh: Int, tRng: Range = ..., hparam: HyperParameter = ..., bakcast: Boolean = ..., adjusted: Boolean = ...): AR

Create an AR object by building an input matrix xy and then calling the AR constructor. Also rescale the input data.

Create an AR object by building an input matrix xy and then calling the AR constructor. Also rescale the input data.

Value parameters

bakcast

whether a backcasted value is prepended to the time series (defaults to false)

hh

the maximum forecasting horizon (h = 1 to hh)

hparam

the hyper-parameters

tForm

the z-transform (rescale to standard normal)

tRng

the time range, if relevant (time index may suffice)

y

the endogenous/response vector (main time series data)

Attributes

Concrete fields

Base hyper-parameter specification for the AR, ARMA, ARIMA, SARIMA and SARIMAX classes

Base hyper-parameter specification for the AR, ARMA, ARIMA, SARIMA and SARIMAX classes

Attributes