Time Series Model Package

EXMSPEC Methods

EXMSPEC.Close Method

  • rc=obj.Close ();

Finalizes the EXM model in the EXMSPEC object. This prepares the EXM model for use in a TSM object or to be imported to a TSMSPEC object for printing or storage to a model repository catalog.

Arguments

There are no arguments associated with this method.

EXMSPEC.Open Method

  • rc=obj.Open ();

Initializes an EXMSPEC object for configuration.

Arguments

There are no arguments associated with this method.

EXMSPEC.SetOption Method

  • rc=obj.SetOption ('Name', Value <,'Name',Value,...>);

Specifies the options for the EXMSPEC object.

Input Arguments

You must specify at least one of the following 'Names' and its associated Value:

'ERROR'

takes a string Value that specifies the variable name for ERROR series.

'LOWER'

takes a string Value that specifies the variable name for LOWER series.

'METHOD'

takes a string Value that specifies the method to approximate prediction STDERR series.

'NLAGPCT'

takes a numeric Value that specifies the percentage of error series count for ACF computations.

'NPARMS'

takes a numeric Value that specifies the number of parameters for external forecast.

'PREDICT'

takes a string Value that specifies the variable name for PREDICT series.

'SIGMA'

takes a string Value that specifies the prediction error standard deviation.

'STDERR'

takes a string Value that specifies the variable name for STDERR series.

'UPPER'

takes a string Value that specifies the variable name for UPPER series.

EXMSPEC.SetTransform Method

  • rc=obj.SetTransform ('Type' <,Option,Parm>);

Specifies the functional transform to be used by the EXM model.

Input Arguments

You must specify the following input argument:

'Type'

takes one of the following string values:

AUTO

automatically chooses between NONE and LOG based on model selection criteria.

BOXCOX(value)

requests Box-Cox transformation with a parameter value between –5 and 5. The default is BOXCOX(1).

LOG

requests logarithmic transformation.

LOGIT

requests logistic transformation.

NONE

does not apply a transformation.

SQRT

requests square-root transformation.

The default is NONE.

You can also specify the following input arguments:

'Option'

takes one of the following string values that specifies prediction semantics for the inverse transform:

MEAN

requests that the inverse transform produce mean forecasts.

MEDIAN

requests that the inverse transform produce median forecasts.

The default is MEAN.

Parm

takes a numeric value between –5 and 5 that specifies a control parameter. This parameter is allowed only for Box-Cox transforms.

Last updated: June 14, 2018