processing: Time series data processing

In TSPred: Functions for Benchmarking Time Series Prediction

Time series data processing

Description

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

Usage

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.

Value

An object of class processing.

Author(s)

Rebecca Pontes Salles

See Also

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

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)

TSPred documentation built on June 11, 2025, 1:07 a.m.