The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 <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_1.1.4.tar.gz |
Windows binaries: | r-devel: GNAR_1.1.4.zip, r-release: GNAR_1.1.4.zip, r-oldrel: GNAR_1.1.4.zip |
macOS binaries: | r-release (arm64): GNAR_1.1.4.tgz, r-oldrel (arm64): GNAR_1.1.4.tgz, r-release (x86_64): GNAR_1.1.4.tgz, r-oldrel (x86_64): GNAR_1.1.4.tgz |
Old sources: | GNAR archive |
Please use the canonical form https://CRAN.R-project.org/package=GNAR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.