processing function

Time series data processing

Constructor for the processing class representing a time series processing method based on a particular time series transformation.

processing(
  prep_func,
  prep_par = NULL,
  postp_func = NULL,
  postp_par = NULL,
  ...,
  subclass = NULL
)

Arguments

• prep_func: A function for preprocessing the time series data.
• prep_par: List of named parameters required by prep_func.
• postp_func: A function for postprocessing the time series data. Generally reverses the transformation performed by prep_func.
• postp_par: List of named parameters required by postp_func.
• ...: Other parameters to be encapsulated in the class object.
• subclass: Name of new specialized subclass object created in case it is provided.

Returns

An object of class processing.

Examples

base <- exp(1)
lt <- processing(prep_func=TSPred::LogT, prep_par=list(base=base), 
                 postp_func=TSPred::LogT.rev, postp_par=list(base=base),
                 method="Logarithmic transform", subclass="LT")
summary(lt)

See Also

Other constructors: ARIMA(), LT(), MSE_eval(), evaluating(), modeling(), tspred()

Author(s)

Rebecca Pontes Salles