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NetVAR

Network Structures in VAR Models

v0.1-2 · Sep 22, 2025 · GPL (>= 3)

Description

Vector AutoRegressive (VAR) type models with tailored regularisation structures are provided to uncover network type structures in the data, such as influential time series (influencers). Currently the package implements the LISAR model from Zhang and Trimborn (2023) <doi:10.2139/ssrn.4619531>. The package automatically derives the required regularisation sequences and refines it during the estimation to provide the optimal model. The package allows for model optimisation under various loss functions such as Mean Squared Forecasting Error (MSFE), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). It provides a dedicated class, allowing for summary prints of the optimal model and a plotting function to conveniently analyse the optimal model via heatmaps.

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OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 10, 2026
WARNING 12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE May 9, 2026
WARNING r-devel-linux-x86_64-debian-gcc

PDF version of manual

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies fields fGarch NetVAR

Version History

1 tracked
new 0.1-2 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Sep 22, 2025. Releases before tracking aren’t shown.