RebeccaSalles/TSPred: Functions for Benchmarking Time Series Prediction
Version 4.0

Functions for time series preprocessing, decomposition, prediction and accuracy assessment using automatic linear modelling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.

Getting started

Package details

AuthorRebecca Pontes Salles [aut, cre, cph] (CEFET/RJ), Eduardo Ogasawara [ths] (CEFET/RJ)
MaintainerRebecca Pontes Salles <[email protected]>
LicenseGPL (>= 2)
Version4.0
URL https://github.com/RebeccaSalles/TSPred/wiki
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("RebeccaSalles/TSPred")
RebeccaSalles/TSPred documentation built on Oct. 17, 2018, 7:10 p.m.