PNAR
Poisson Network Autoregressive Models
Quasi likelihood-based methods for estimating linear and log-linear Poisson Network Autoregression models with p lags and covariates. Tools for testing the linearity versus several non-linear alternatives. Tools for simulation of multivariate count distributions, from linear and non-linear PNAR models, by using a specific copula construction. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression.
- Version1.6
- R version≥ 4.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/09/2023
Team
Michail Tsagris
Mirko Armillotta
Show author detailsRolesAuthor, Copyright holderKonstantinos Fokianos
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- Depends1 package
- Imports8 packages