GNAR: Methods for Fitting Network Time Series Models (original) (raw)
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>.
| Version: | 1.1.4 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | ggforce, ggplot2, ggpubr, grid, igraph, matrixcalc, rlang, stats, viridis, wordcloud |
| Published: | 2024-10-02 |
| DOI: | 10.32614/CRAN.package.GNAR |
| Author: | Kathryn Leeming [aut], Guy Nason [aut], Matt Nunes [aut, cre], Marina Knight [ctb], James Wei [aut], Daniel Salnikov [aut], Mario Cortina Borja [ctb] |
| Maintainer: | Matt Nunes |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | GNAR citation info |
| In views: | TimeSeries |
| CRAN checks: | GNAR results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=GNARto link to this page.