config-i1/legion: Forecasting Using Multivariate Models

Functions implementing multivariate state space models for purposes of time series analysis and forecasting. The focus of the package is on multivariate models, such as Vector Exponential Smoothing, Vector ETS (Error-Trend-Seasonal model) etc. It currently includes Vector Exponential Smoothing (VES, de Silva et al., 2010, <doi:10.1177/1471082X0901000401>), Vector ETS (Svetunkov et al., 2023, <doi:10.1016/j.ejor.2022.04.040>) and simulation function for VES.

Getting started

Package details

Maintainer
LicenseLGPL-2.1
Version0.2.1
URL https://github.com/config-i1/legion
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("config-i1/legion")
config-i1/legion documentation built on Feb. 6, 2025, 5:05 p.m.