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legion  

Forecasting Using Multivariate Models
View on CRAN: Click here


Download and install legion package within the R console
Install from CRAN:
install.packages("legion")

Install from Github:
library("remotes")
install_github("cran/legion")

Install by package version:
library("remotes")
install_version("legion", "0.2.1")



Attach the package and use:
library("legion")
Maintained by
Ivan Svetunkov
[Scholar Profile | Author Map]
First Published: 2021-05-17
Latest Update: 2023-01-31
Description:
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, ), Vector ETS and simulation function for VES.
How to cite:
Ivan Svetunkov (2021). legion: Forecasting Using Multivariate Models. R package version 0.2.1, https://cran.r-project.org/web/packages/legion. Accessed 09 May. 2025.
Previous versions and publish date:
0.1.0 (2021-05-17 11:20), 0.1.1 (2022-02-15 11:00), 0.1.2 (2023-01-31 10:00)
Other packages that cited legion R package
View legion citation profile
Other R packages that legion depends, imports, suggests or enhances
Complete documentation for legion
Functions, R codes and Examples using the legion R package
Some associated functions: isFunctions . legion . oves . plot.legion . sim.ves . ves . vets . 
Some associated R codes: RcppExports.R . autovets.R . isFunctions.R . legion-package.R . mvnorm.R . oves.R . simves.R . ves.R . vets.R . vmethods.R . vssFunctions.R . zzz.R .  Full legion package functions and examples
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