GNAR
Methods for Fitting Network Time Series Models
Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure, potentially with exogenous variables. Such models are described in Knight et al. (2020) doi:10.18637/jss.v096.i05 and Nason and Wei (2021) doi:10.1111/rssa.12875. Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) doi:10.48550/arXiv.2312.00530.
- Version1.1.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- GNAR citation info
- Last release10/02/2024
Documentation
Team
Matt Nunes
Guy Nason
Show author detailsRolesAuthorMarina Knight
Show author detailsRolesContributorKathryn Leeming
Show author detailsRolesAuthorJames Wei
Show author detailsRolesAuthorDaniel Salnikov
Show author detailsRolesAuthorMario Cortina Borja
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 304 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.
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Last 365 days
This package has been downloaded 4,916 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 147 downloads.
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Dependencies
- Imports8 packages