buildMetaLevelDataset: Builds the meta-level data set

In DescartesResearch/telescope: Hybrid Multi-Step-Ahead Forecasting

Description

Builds the meta-level data set. That is, calculating the forecasting error and time series characteritics for each time series.

Usage

buildMetaLevelDataset(timeseries, natural = TRUE, boxcox = TRUE)

Arguments

timeseries	A list of time series
natural	Optional parameter: A flag indicating wheter only natural frequencies (e.g., daily, hourly, ...) or all found frequencies shall be considered.
boxcox	Optional parameter: A flag indicating if the Box-Cox transofrmation should be performed. It is not recommend to disable the transformation. TRUE by default.

Value

The accuracies and characteristics of the time series.

DescartesResearch/telescope documentation built on Oct. 23, 2021, 9:51 a.m.