franciscomartinezdelrio/tsfknn: Time Series Forecasting Using Nearest Neighbors

Allows forecasting time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.

Getting started

Package details

MaintainerFrancisco Martinez <fmartin@ujaen.es>
LicenseGPL-2
Version0.6.0
URL https://github.com/franciscomartinezdelrio/tsfknn
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("franciscomartinezdelrio/tsfknn")
franciscomartinezdelrio/tsfknn documentation built on Jan. 31, 2024, 8 a.m.