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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: | 1.1.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggforce, ggplot2, ggpubr, grid, igraph, matrixcalc, rlang, stats, viridis, wordcloud |
| Published: | 2023-12-18 |
| 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 <nunesrpackages at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | GNAR citation info |
| In views: | TimeSeries |
| CRAN checks: | GNAR results |
| Reference manual: | GNAR.pdf |
| Package source: | GNAR_1.1.3.tar.gz |
| Windows binaries: | r-devel: GNAR_1.1.3.zip, r-release: GNAR_1.1.3.zip, r-oldrel: GNAR_1.1.3.zip |
| macOS binaries: | r-release (arm64): GNAR_1.1.3.tgz, r-oldrel (arm64): GNAR_1.1.3.tgz, r-release (x86_64): GNAR_1.1.3.tgz, r-oldrel (x86_64): GNAR_1.1.3.tgz |
| Old sources: | GNAR archive |
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